WO2016000304A1 - Virtual fitting method and virtual fitting system - Google Patents
Virtual fitting method and virtual fitting system Download PDFInfo
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- WO2016000304A1 WO2016000304A1 PCT/CN2014/085279 CN2014085279W WO2016000304A1 WO 2016000304 A1 WO2016000304 A1 WO 2016000304A1 CN 2014085279 W CN2014085279 W CN 2014085279W WO 2016000304 A1 WO2016000304 A1 WO 2016000304A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Definitions
- the present disclosure provides a virtual fitting method and a virtual fitting system for solving the problem that the existing network purchase clothing is difficult to visually view the clothing fitting effect.
- an embodiment of the present disclosure provides a virtual fitting system, including: obtaining a human body image of a sampler through a depth camera;
- the three-dimensional fitting image is displayed by a display unit.
- the acquiring the three-dimensional model of the garment to be tested comprises:
- the matching the body size information of the sampler with the size information of the garment to be tried on, and selecting the size of the adapted garment to be tested comprises:
- the size information of the garment suitable for the wearer is matched with the size information of the garment to be tried by the merchant, and the size of the adapted garment to be tried is selected.
- the step of determining the human body size information of the sampler according to the image of the human body of the sampler includes:
- the human body size information of the fitter is determined based on the height information of the wearer externally input based on the height information of the fitter and the human body image of the fitter.
- the step of determining the human body size information of the sampler according to the human body image :
- the body size information of the fitter is determined based on the height information of the fitter and the human body image.
- the obtaining the three-dimensional model of the garment to be tested according to the selected size comprises: selecting, in the clothing model database, a three-dimensional model of the garment that matches the style of the garment to be tried, according to the The size information of the garment to be tried and the selected three-dimensional model of the garment are generated to generate a three-dimensional model of the garment to be tested.
- the body size information includes a shoulder width, a chest circumference, a waist circumference, a leg length, and/or an arm length.
- a virtual fitting system comprising:
- a depth camera for obtaining a human body image of the fitting person
- a human body size information acquiring unit configured to determine the person of the fitting person according to the human body image Body size information
- a three-dimensional modeling unit configured to create a human body three-dimensional sentence of the fitter according to the human body size information.
- a garment model obtaining unit configured to obtain a three-dimensional model of the garment to be tried on
- a fusion unit configured to fuse the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, to obtain a three-dimensional fitting image
- the display unit, ⁇ displays the three-dimensional fitting image.
- the clothing model obtaining unit is specifically configured to match body size information of the sampler with size information of the clothing to be tried, and select an adapted size of the clothing to be tried; according to the selected size Obtaining a three-dimensional model of the garment to be tried on.
- the clothing model obtaining unit is specifically configured to calculate, according to the human body size information of the sampler and the pre-stored size error, size information suitable for the clothing worn by the sampler;
- the size information of the clothing worn by the person is matched with the size information of the clothing to be tried by the merchant, and the size of the adapted clothing to be tried is obtained.
- the human body size information acquiring unit is configured to obtain the input height information of the sampler, and determine, according to the height information of the sampler and the human body image of the sampler.
- the human body size information acquiring unit is configured to acquire the placement height information of the depth camera, and calculate a horizontal distance of the sampler from the virtual fitting system according to the placement height information of the depth camera. Calculating height information of the sampler according to the horizontal distance and the placement height information of the depth camera, and determining the size of the human body of the sampler according to the height information of the sampler and the human body image information.
- the virtual fitting system further includes:
- a clothing model database for storing a three-dimensional model of a variety of styles of clothing
- the clothing model obtaining unit is specifically configured to select, from the clothing model database, a three-dimensional model of the garment that matches the style of the garment to be tried, according to the size information of the garment to be tried and the selected three-dimensional model of the garment. , generating a three-dimensional model of the garment to be tried on.
- the human body image acquired by the depth camera can easily create a three-dimensional model of the human body, and the person The three-dimensional model is merged with the three-dimensional model of the garment to be tested, and the three-dimensional fitting effect is visually seen.
- FIG. 1 is a schematic flow chart of a virtual fitting method according to an embodiment of the present disclosure.
- FIG. 2 is a schematic diagram of a method for calculating a human body height according to an embodiment of the present disclosure.
- FIG. 3 is a schematic structural diagram of a virtual fitting system according to an embodiment of the present disclosure.
- FIG. 1 is a schematic flowchart diagram of a virtual fitting method according to an embodiment of the present disclosure, where the method is applied to a virtual fitting system, and the virtual fitting system may have a display for a television, a personal computer, or the like.
- the electronic device of the unit, the method comprising the steps of:
- Step Si h obtains a human body image of the fitting person through the depth camera
- the dresser can stand within the imaging range of the depth camera and smoothly turn around in a specified time (such as 10 seconds). Take the image processing speed at 30 Hz as an example. The camera can shoot 30 per second. The human body image, after turning 360 degrees, can get more than 300 images of people at different angles.
- Step S12 determining body size information of the sampler according to the human body image; the body size information may include information such as shoulder width, chest circumference, waist circumference, leg length, and/or arm length.
- Step S13 creating a three-dimensional model of the human body of the fitter according to the human body size information; and obtaining a three-dimensional model of the garment to be tried on;
- Step merging the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, and obtaining a three-dimensional fitting image;
- Step S16 displaying the three-dimensional fitting image by a display unit.
- the human body image acquired by the depth camera can be conveniently
- the three-dimensional model of the human body is created, and the three-dimensional model of the human body is merged with the three-dimensional model of the garment to be tested, and the three-dimensional fitting effect is visually seen.
- Method 1 Determine the size information of the dresser by taking the height of the dresser as a reference.
- the height information of the fitting device can be manually input by the fitting machine, and the virtual fitting system acquires the height information of the externally input fittings, and is determined according to the height information of the fitting person and the human body image of the fitting person.
- Body size information of the sampler is other body size information other than height, such as leg length, chest circumference, waist circumference, and the like.
- the ratio of the actual height of the fitting and the height of the human body image is calculated to be 5. If the leg length of the fitting obtained from the human body image is 21 cm, it can be estimated that the actual leg length of the fitting is 105 cm.
- Method 2 Determine the size information of the fitter by using the placement height of the depth camera as a reference.
- the determining, according to the human body image, the body size information of the sampler may include:
- the body size information of the fitter is determined based on the height information of the fitter and the human body image.
- the size information of the fitter can be easily obtained.
- the above method is merely exemplified, and the principle is to find a reference object whose size is known or calculated, and to calculate the body size information as a standard.
- the body size information of the sampler is not determined by other methods.
- a clothing may have several code numbers, such as S code, M code, L code and XL code.
- code numbers such as S code, M code, L code and XL code.
- the size and size of different brands or types of clothing of the same code number may also be different, for example
- the S code of some European and American style clothes may be equivalent to the M code of domestic clothing. Therefore, when selecting a certain clothing, 3 ⁇ 4 households may not be able to accurately select the appropriate code number to try on, and need to try on multiple times. Clothing with different code numbers.
- step S14 (acquiring the three-dimensional model of the garment to be tried on) may specifically include: The size information is matched with the size information of the garment to be tested, the size of the adapted garment to be tested is selected, and the three-dimensional model of the garment to be tried is determined according to the size of the adapted garment to be tested. At this time, the fitter can select a three-dimensional model corresponding to the size of the garment to be tried that is recommended by the virtual fitting system.
- the size information of the fitter is 36 cm, and the actual measured shoulder width of a suitable garment may require 38 cm. Therefore, assuming that al, bl, cl... are the determined body size information, a', b% c'... are the dimensional errors corresponding to al, bl, cl... respectively, then the size information of the final recommended clothing, A, B, C... is: A ⁇ al+a'
- the size information of the fitter is matched with the size information of the garment to be tested, and the size of the adapted garment to be tested may specifically include: Determining the size information of the fitter and the pre-stored dimensional error, and calculating the size information of the garment suitable for the wearer; and then, the size information of the garment suitable for the wearer is compared with the offer provided by the merchant. The size information of the garment is matched, and the size of the garment to be tried that matches the fitter is obtained, and the cone is recommended for selection.
- the size of the garment to be tried to match with the fitting person can be accurately recommended, and the experience of the fitting person can be improved.
- the fitter can select a three-dimensional model of the garment to be tried by the virtual fitting system for virtual fitting.
- the virtual fitting system of the embodiment of the present disclosure can also generate a three-dimensional pattern of the fitting garment, which will be specifically described below.
- the virtual fitting system of the embodiment of the present disclosure may store a three-dimensional model of a plurality of styles of clothing in advance through a clothing model database. For example, a three-dimensional model of a variety of common styles of clothing is stored.
- a three-dimensional model of the garment matching the style of the garment to be tried is selected in the clothing model database, according to the size information of the garment to be tried and the selected garment.
- the three-dimensional model generates a three-dimensional model of the garment to be tried on.
- the garment of the first yard or the small yard may be re-selected to regenerate the three-dimensional fitting image.
- the human body three-dimensional model and the clothing model can be created according to the existing modeling method, and the three-dimensional model of the human body three-dimensional model and the clothing to be tried on can be merged according to the existing fusion method, and details are not described herein again.
- FIG. 3 is a schematic structural diagram of a virtual fitting system according to an embodiment of the present disclosure.
- the virtual fitting system may be an electronic device having a display unit such as a television or a personal computer, and the virtual fitting system includes:
- the depth camera 3], ffi is used to obtain a human body image of the fitter; the depth camera 31 may be disposed at any position of the front bezel of the virtual fitting system.
- the human body size information acquiring unit 32 is configured to determine body size information of the sampler according to the human body image
- a three-dimensional modeling unit 33 configured to create a human body three-dimensional model of the fitter according to the human body size information
- a garment model obtaining unit 34 configured to acquire a three-dimensional model of the garment to be tried on;
- a fusion unit 35 configured to fuse the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, to obtain a three-dimensional fitting image
- the display unit 36 is configured to display the three-dimensional fitting image.
- the three-dimensional model of the human body can be conveniently created, and the three-dimensional model of the human body is merged with the three-dimensional model of the garment to be tested, and the three-dimensional fitting effect is visually seen.
- the human body size information acquiring unit 32 may be specifically configured to obtain externally input height information of the sampler, and determine the height according to the height information of the sampler and the human body image of the sampler. The body size information of the tester is described.
- the human body size information acquiring unit 32 is further configured to acquire the placement height information of the depth camera, and calculate the fitter distance from the virtual fitting system according to the placement height information of the depth camera. a horizontal distance, calculating height information of the sampler according to the horizontal distance and the placement height information of the depth camera, and determining the fitting according to the height information of the sampler and the human body image Body size information.
- the human body size information obtaining unit 32 can conveniently obtain the human body size of the sampler.
- the clothing model obtaining unit 34 of the embodiment of the present disclosure can be specifically used to provide the size information of the sampler and the merchant. The size information of the garment to be tested is matched, the size of the garment to be tried that matches the fitting person is obtained, and a recommendation is made for selection.
- the clothing model obtaining unit 34 of the embodiment of the present disclosure may further be specifically used according to the The size information of the fitter and the pre-stored size error are calculated, and the size information of the garment suitable for the wearer is calculated; the size information of the garment suitable for the wearer and the size of the garment to be tried by the merchant are The information is matched, the size of the garment to be tried that matches the fitter is obtained, and a recommendation is made for selection.
- the garment model obtaining unit may specifically obtain a three-dimensional model of the garment to be tried by the merchant.
- the virtual fitting system of the embodiment of the present disclosure may further include: a clothing model database for storing a three-dimensional model of a plurality of styles of clothing; and when the merchant does not provide a three-dimensional model of the clothing to be tried, the clothing model acquiring unit is specifically used Selecting a three-dimensional model of the garment matching the style of the garment to be tried on, and generating the garment to be tried on the basis of the size information of the garment to be tested and the selected three-dimensional model of the garment. 3D model.
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Abstract
Description
本申请主张在 2014 年 06 月 30 日在中国提交的中国专利申请号 No. 201410307799.9的优先权, 其全部内容通过引用包含于此。 The present application claims priority to Chinese Patent Application No. 201410307799.9, filed on Jun. 30, 2014, the entire content of
随着网络科技的不断发展, 许多消费者喜欢通过网络购买服装。 目前, 消费者通常只能通过网络上的照片或参考模特所穿服装的效果选择服装。 这 种购买方式使得消费者无法看到自己试穿服装的效果, 丛而导致消费者很难 通过网络买到满意的服装。 With the continuous development of network technology, many consumers like to buy clothing through the Internet. Currently, consumers typically only choose clothing through photos on the web or by reference to the effects of the clothing worn by the model. This type of purchase makes it impossible for consumers to see the effect of trying on their own clothing, which makes it difficult for consumers to buy satisfactory clothing through the Internet.
有鉴于此, 本公开提供一种虚拟试衣方法及虛拟试衣系统, 用以解决现 有的网络购买服装的方式难以直观地查看服装试穿效果的问题。 In view of this, the present disclosure provides a virtual fitting method and a virtual fitting system for solving the problem that the existing network purchase clothing is difficult to visually view the clothing fitting effect.
为解决上述技术问题, 本公开的实施例提供一种虚拟试衣系统, 包括: 通过深度摄像头获取试衣者的人体图像; In order to solve the above technical problem, an embodiment of the present disclosure provides a virtual fitting system, including: obtaining a human body image of a sampler through a depth camera;
根据所述试衣者的人体图像, 确定所述试衣者的人体尺寸信息; 根据所述人体尺寸信息创建所述试衣者的人体三维模型; Determining body size information of the sampler according to the human body image of the sampler; creating a three-dimensional model of the human body of the sampler according to the body size information;
获取待试穿服装的三维模型; Obtaining a three-dimensional model of the garment to be tried on;
将所述试衣者的人体三维模型与待试穿服装的三维模型进行融合, 得到 三维试衣图像; Combining the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, to obtain a three-dimensional fitting image;
通过显示单元显示所述三维试衣图像。 The three-dimensional fitting image is displayed by a display unit.
可选地, 所述获取待试穿服装的三维模型具体包括: Optionally, the acquiring the three-dimensional model of the garment to be tested comprises:
将所述试衣者的人体尺寸信息与待试穿服装的尺寸信息进行匹配, 选择 适配的待试穿服装的尺码; Matching the size information of the fitter to the size information of the garment to be tested, and selecting The size of the adapted garment to be tested;
根据选择的尺码获取所述待试穿服装的三维模型。 Obtaining a three-dimensional model of the garment to be tried on according to the selected size.
可选地, 所述将所述试衣者的人体尺寸信息与待试穿服装的尺寸信息进 行匹配, 选择适配的待试穿服装的尺码具体包括: Optionally, the matching the body size information of the sampler with the size information of the garment to be tried on, and selecting the size of the adapted garment to be tested comprises:
根据所述试衣者的人体尺寸信息以及预存的尺寸误差, 计算适合所述试 衣者穿着的服装的尺寸信息; Calculating size information suitable for the garment worn by the tester based on the size information of the fitter and the pre-stored dimensional error;
将适合所述试衣者穿着的服装的尺寸信息与商家提供的待试穿服装的尺 寸信息进行匹配, 选择适配的待试穿服装的尺码。 The size information of the garment suitable for the wearer is matched with the size information of the garment to be tried by the merchant, and the size of the adapted garment to be tried is selected.
可选地, 所述根据所述试衣者的人体图像, 确定所述试衣者的人体尺寸 信息的步骤具体包括: Optionally, the step of determining the human body size information of the sampler according to the image of the human body of the sampler includes:
根据外部输入的所述试衣者的身高信息, 根据所述试衣者的身高信息及 所述试衣者的人体图像, 确定所述试衣者的人体尺寸信息。 The human body size information of the fitter is determined based on the height information of the wearer externally input based on the height information of the fitter and the human body image of the fitter.
可选地, 所述根据所述人体图像, 确定所述试衣者的人体尺寸信息的步 骤呉体 Έϊίΐ: Optionally, the step of determining the human body size information of the sampler according to the human body image:
获取所述深度摄像头的放置高度信息; Obtaining placement height information of the depth camera;
根据所述深度摄像头的放置高度信息, 计算所述试衣者距离所述虛拟试 衣系统的水平距离; Calculating a horizontal distance of the sampler from the virtual fitting system according to the placement height information of the depth camera;
根据所述水平距离及所述深度摄像头的放置高度信息, 计算所述试衣者 的身高信息; Calculating height information of the sampler according to the horizontal distance and the placement height information of the depth camera;
根据所述试衣者的身高信息及所述人体图像, 确定所述试衣者的人体尺 寸信息。 The body size information of the fitter is determined based on the height information of the fitter and the human body image.
可选地,所述根据选择的尺码获取所述待试穿服装的三维模型具体包括: 丛所述服装模型数据库中选择与所述待试穿服装的款式相匹配的服装三 维模型, 根据所述待试穿服装的尺寸信息及选择的服装三维模型, 生成所述 待试穿服装的三维模型。 Optionally, the obtaining the three-dimensional model of the garment to be tested according to the selected size comprises: selecting, in the clothing model database, a three-dimensional model of the garment that matches the style of the garment to be tried, according to the The size information of the garment to be tried and the selected three-dimensional model of the garment are generated to generate a three-dimensional model of the garment to be tested.
可选地, 所述人体尺寸信息包括肩宽、 胸围、 腰围、 腿长和 /或手臂长。 本公开还提供一种虛拟试衣系统, 包括: Optionally, the body size information includes a shoulder width, a chest circumference, a waist circumference, a leg length, and/or an arm length. The present disclosure also provides a virtual fitting system, comprising:
深度摄像头, 用于获取试衣者的人体图像; a depth camera for obtaining a human body image of the fitting person;
人体尺寸信息获取单元, 用于根据所述人体图像, 确定所述试衣者的人 体尺寸信息; a human body size information acquiring unit, configured to determine the person of the fitting person according to the human body image Body size information;
三维建模单元, 用于根据所述人体尺寸信息创建所述试衣者的人体三维 刑。 And a three-dimensional modeling unit, configured to create a human body three-dimensional sentence of the fitter according to the human body size information.
服装模型获取单元, 用于获取待试穿服装的三维模型; a garment model obtaining unit, configured to obtain a three-dimensional model of the garment to be tried on;
融合单元, 用于将所述试衣者的人体三维模型与待试穿服装的三维模型 进行融合, 得到三维试衣图像; a fusion unit, configured to fuse the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, to obtain a three-dimensional fitting image;
显示单元, ^于显示所述三维试衣图像。 The display unit, ^ displays the three-dimensional fitting image.
可选地, 所述服装模型获取单元, 具体用于将所述试衣者的人体尺寸信 息与待试穿服装的尺寸信息进行匹配, 选择适配的待试穿服装的尺码; 根据 选择的尺码获取所述待试穿服装的三维模型。 Optionally, the clothing model obtaining unit is specifically configured to match body size information of the sampler with size information of the clothing to be tried, and select an adapted size of the clothing to be tried; according to the selected size Obtaining a three-dimensional model of the garment to be tried on.
可选地, 所述服装模型获取单元, 具体用于根据所述试衣者的人体尺寸 信息以及预存的尺寸误差, 计算适合所述试衣者穿着的服装的尺寸信息; 将 适合所述试衣者穿着的服装的尺寸信息与商家提供的待试穿服装的尺寸信息 进行匹配, 获取适配的待试穿服装的尺码。 Optionally, the clothing model obtaining unit is specifically configured to calculate, according to the human body size information of the sampler and the pre-stored size error, size information suitable for the clothing worn by the sampler; The size information of the clothing worn by the person is matched with the size information of the clothing to be tried by the merchant, and the size of the adapted clothing to be tried is obtained.
可选地, 所述人体尺寸信息获取单元, 具体) ¾于获取输入的所述试衣者 的身高信息, 根据所述试衣者的身高信息及所述试衣者的人体图像, 确定所 可选地, 所述人体尺寸信息获取单元, 具体 于获取所述深度摄像头的 放置高度信息, 根据所述深度摄像头的放置高度信息, 计算所述试衣者距离 所述虚拟试衣系统的水平距离, 根据所述水平距离及所述深度摄像头的放置 高度信息, 计算所述试衣者的身高信息, 并根据所述试衣者的身高信息及所 述人体图像, 确定所述试衣者的人体尺寸信息。 Optionally, the human body size information acquiring unit is configured to obtain the input height information of the sampler, and determine, according to the height information of the sampler and the human body image of the sampler. Optionally, the human body size information acquiring unit is configured to acquire the placement height information of the depth camera, and calculate a horizontal distance of the sampler from the virtual fitting system according to the placement height information of the depth camera. Calculating height information of the sampler according to the horizontal distance and the placement height information of the depth camera, and determining the size of the human body of the sampler according to the height information of the sampler and the human body image information.
可选地, 所述虚拟试衣系统还包括: Optionally, the virtual fitting system further includes:
服装模型数据库, 用于存储多种款式的服装的三维模型; a clothing model database for storing a three-dimensional model of a variety of styles of clothing;
其中, 服装模型获取单元, 具体用于从所述服装模型数据库中选择与所 述待试穿服装的款式相匹配的服装三维模型, 根据所述待试穿服装的尺寸信 息及选择的服装三维模型, 生成所述待试穿服装的三维模型。 The clothing model obtaining unit is specifically configured to select, from the clothing model database, a three-dimensional model of the garment that matches the style of the garment to be tried, according to the size information of the garment to be tried and the selected three-dimensional model of the garment. , generating a three-dimensional model of the garment to be tried on.
本公开的上述技术方案的有益效果如下: The beneficial effects of the above technical solutions of the present disclosure are as follows:
可以通过深度摄像头获取的人体图像方便地创建人体三维模型, 并将人 体三维模型与待试穿服装的三维模型进行融合, 直观地看到三维试衣效果。 此外, 还可以根据试衣者的人体尺寸信息, 准确地向试衣者推荐与其匹配的 待试穿服装的尺码, 提高了试衣者的体验。 The human body image acquired by the depth camera can easily create a three-dimensional model of the human body, and the person The three-dimensional model is merged with the three-dimensional model of the garment to be tested, and the three-dimensional fitting effect is visually seen. In addition, it is also possible to accurately recommend the size of the garment to be tried to match the fitter according to the size information of the fitter, thereby improving the experience of the fitter.
图 1为本公开实施例的虚拟试衣方法的流程示意图。 FIG. 1 is a schematic flow chart of a virtual fitting method according to an embodiment of the present disclosure.
图 2为本公开实施例的人体身高的计算方法的示意图。 2 is a schematic diagram of a method for calculating a human body height according to an embodiment of the present disclosure.
图 3为本公开实施例的虚拟试衣系统的结构示意图。 FIG. 3 is a schematic structural diagram of a virtual fitting system according to an embodiment of the present disclosure.
为使本公开要解决的技术问题、 技术方案和优点更加清楚, 下面将结合 附图及具体实施例进行详细描述。 The technical problems, the technical solutions, and the advantages of the present invention will be more clearly described in the following description.
请参考图 1, 图 1 为本公开实施例的虚拟试衣方法的流程示意图, 所述 方法应) ¾于一虚拟试衣系统, 所述虚拟试衣系统可以为电视机、 个人计算机 等具有显示单元的电子设备, 所述方法包括以下步骤: Please refer to FIG. 1. FIG. 1 is a schematic flowchart diagram of a virtual fitting method according to an embodiment of the present disclosure, where the method is applied to a virtual fitting system, and the virtual fitting system may have a display for a television, a personal computer, or the like. The electronic device of the unit, the method comprising the steps of:
步骤 Si h 通过深度摄像头获取试衣者的人体图像; Step Si h obtains a human body image of the fitting person through the depth camera;
具体操作时, 试衣者可以站立在深度摄像头的摄像范围内, 在规定的时 间内 (如 10秒) 平稳地转身一圈, 以 30赫兹频率的图像处理速度为例, 摄 像头每秒可以拍摄 30幅人体图像,转身 360度后可获得 300多幅不同角度的 人图图像。 During the specific operation, the dresser can stand within the imaging range of the depth camera and smoothly turn around in a specified time (such as 10 seconds). Take the image processing speed at 30 Hz as an example. The camera can shoot 30 per second. The human body image, after turning 360 degrees, can get more than 300 images of people at different angles.
步骤 S12: 根据所述人体图像, 确定所述试衣者的人体尺寸信息; 所述人体尺寸信息可以包括肩宽、胸围、腰围、腿长和 /或手臂长等信息。 步骤 S13 : 根据所述人体尺寸信息创建所述试衣者的人体三维模型; 步骤 获取待试穿服装的三维模型; Step S12: determining body size information of the sampler according to the human body image; the body size information may include information such as shoulder width, chest circumference, waist circumference, leg length, and/or arm length. Step S13: creating a three-dimensional model of the human body of the fitter according to the human body size information; and obtaining a three-dimensional model of the garment to be tried on;
步骤 将所述试衣者的人体三维模型与待试穿服装的三维模型进行 融合, 得到三维试衣图像; Step: merging the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, and obtaining a three-dimensional fitting image;
歩骤 S16: 通过显示单元显示所述三维试衣图像。 Step S16: displaying the three-dimensional fitting image by a display unit.
通过上述实施例提供的方法, 可以通过深度摄像头获取的人体图像方便 地创建人体三维模型,并将人体三维模型与待试穿服装的三维模型进行融合, 直观地看到三维试衣效果。 Through the method provided by the above embodiments, the human body image acquired by the depth camera can be conveniently The three-dimensional model of the human body is created, and the three-dimensional model of the human body is merged with the three-dimensional model of the garment to be tested, and the three-dimensional fitting effect is visually seen.
下面对如何根据所述人体图像, 确定所述试衣者的人体尺寸信息的方法 进行详细说明。 Next, a detailed description will be given of how to determine the size information of the fitter based on the human body image.
方法一: 以试衣者的身高为参考物, 确定试衣者的人体尺寸信息。 Method 1: Determine the size information of the dresser by taking the height of the dresser as a reference.
具体的, 可以由试衣者手动输入的其身高信息, 虚拟试衣系统获取外部 输入的试衣者的身高信息, 根据所述试衣者的身高信息及所述试衣者的人体 图像, 确定所述试衣者的人体尺寸信息。 所述人体尺寸信息为除身高之外的 其他人体尺寸信息, 如腿长、 胸围、 腰围等。 Specifically, the height information of the fitting device can be manually input by the fitting machine, and the virtual fitting system acquires the height information of the externally input fittings, and is determined according to the height information of the fitting person and the human body image of the fitting person. Body size information of the sampler. The body size information is other body size information other than height, such as leg length, chest circumference, waist circumference, and the like.
举例来说, 试衣者的身高为 170cm, 从人体图像中获取的试衣者的身高 为 34cm, 则计算出试衣者的实际身高与人体图像中的身高的比例系数为 5。 假如从人体图像中获取的试衣者的腿长为 21cm,则可以估算出试衣者的实际 腿长为 105cm。 For example, if the height of the fitting is 170 cm and the height of the fitting obtained from the human body image is 34 cm, the ratio of the actual height of the fitting and the height of the human body image is calculated to be 5. If the leg length of the fitting obtained from the human body image is 21 cm, it can be estimated that the actual leg length of the fitting is 105 cm.
方法二: 以深度摄像头的放置高度为参考物, 确定试衣者的人体尺寸信 息。 Method 2: Determine the size information of the fitter by using the placement height of the depth camera as a reference.
具体的, 所述根据所述人体图像, 确定所述试衣者的人体尺寸信息的歩 骤可以包括; Specifically, the determining, according to the human body image, the body size information of the sampler may include:
获取所述深度摄像头的放置高度信息; Obtaining placement height information of the depth camera;
根据所述深度摄像头的放置高度信息, 计算所述试衣者距离所述虚拟试 衣系统的水平距离; Calculating a horizontal distance of the sampler from the virtual fitting system according to the placement height information of the depth camera;
根据所述水平距离及所述深度摄像头的放置高度信息, 计算所述试衣者 的身 ι,ϋ ; Calculating the body of the sampler according to the horizontal distance and the placement height information of the depth camera;
根据所述试衣者的身高信息及所述人体图像, 确定所述试衣者的人体尺 寸信息。 The body size information of the fitter is determined based on the height information of the fitter and the human body image.
举例来说, 如图 2所示, 假设虚拟试衣系统为一电视机, 电视机距放置 平台的高度为 hi (深度摄像头设置在电视机的上边框上, 即深度摄像头距放 置平台的高度也是 hl ), 放置电视机的平台的髙度为 h2 , 则可得出深度摄像 头的放置髙度 H=hl+h2, 或者, 也可以直接测量深度摄像头的放置高度 H, 试衣者可将深度摄像头的放置髙度 H手动输入虚拟试衣系统。 假设深度摄像头竖直方向的识别角度为 a, 根据所述识别角度 a, 可什算 出图 2 中的夹角 c=90°- a/2, 从而可计算出试衣者距离电视机的水平距离 S= H*tan (90。- a/2)。 For example, as shown in FIG. 2, assuming that the virtual fitting system is a television set, the height of the television set from the placement platform is hi (the depth camera is placed on the upper border of the television, that is, the height of the depth camera from the placement platform is also Hl ), the height of the platform on which the TV is placed is h2, then the depth of the depth camera can be obtained as H=hl+h2, or the depth of the depth camera can be directly measured, and the depth of the camera can be measured by the tester. Place the twist H manually into the virtual fitting system. Assuming that the recognition angle of the vertical direction of the depth camera is a, according to the recognition angle a, the angle c=90°-a/2 in Fig. 2 can be calculated, so that the horizontal distance of the fitting person from the television can be calculated. S = H*tan (90.- a/2).
假设试衣者的身高为 H' (H'>H), tan b/2- (Η' H) /S, 则可计算出试衣 者的身高 H'二 H+S* ian b/2 , 即: H'-hi+h2+ S* tan b/2。 Assuming the height of the fitting is H' (H'>H), tan b/2- (Η' H) /S, the height H'2 H+S* ian b/2 of the fitting is calculated. Namely: H'-hi+h2+ S* tan b/2.
当试衣者的身高 H'<H时, 什算过程相类似, 在此不再赘述。 When the height of the fitting person H'<H, the process is similar, and will not be described here.
当然, 上述两种方法中, 在进行人体图像摄取时, 试衣者站立的位置需 要保证深度摄像头能够摄取到人体的全身图像。 Of course, in the above two methods, when the human body image is taken, the position where the dresser stands is required to ensure that the depth camera can capture the whole body image of the human body.
通过上述方法, 可以方便地获取试衣者的人体尺寸信息。 By the above method, the size information of the fitter can be easily obtained.
上述方法仅作举例说明, 原理在于, 找到尺寸已知或经过计算后已知的 参照物, 以此为标准计算出人体尺寸信息。 当然, 本公开实施例中, 也不排 除通过其他方法确定所述试衣者的人体尺寸信息。 The above method is merely exemplified, and the principle is to find a reference object whose size is known or calculated, and to calculate the body size information as a standard. Of course, in the embodiment of the present disclosure, the body size information of the sampler is not determined by other methods.
通常情况下, 一种服装可能会有好几个码号, 如 S码、 M码、 L码和 XL 码等, 另外, 同种码号的不同品牌或类型的服装的大小尺寸也可能不同, 例 如, 有些欧美款式的衣服的 S码可能相当于国内服装的 M码, 因而, )¾户在 选择某个服装时, 可能无法准确地选择合适的码号进行试穿, 丛而需要多次 试穿不同码号的服装。 Usually, a clothing may have several code numbers, such as S code, M code, L code and XL code. In addition, the size and size of different brands or types of clothing of the same code number may also be different, for example The S code of some European and American style clothes may be equivalent to the M code of domestic clothing. Therefore, when selecting a certain clothing, 3⁄4 households may not be able to accurately select the appropriate code number to try on, and need to try on multiple times. Clothing with different code numbers.
本公开实施例中, 为解决试衣者无法准确地选择合适的服装码号进行试 穿的问题, 步骤 S14 (获取待试穿服装的三维模型) 可以具体包括: 将所述 试衣者的人体尺寸信息与待试穿服装的尺寸信息进行匹配, 选择适配的待试 穿服装的尺码, 并根据适配的待试穿服装的尺码, 确定待试穿服装的三维模 型。 此时, 试衣者可以选择虚拟试衣系统推荐的与试衣者适配的待试穿服装 的尺码对应的三维模型。 In the embodiment of the present disclosure, in order to solve the problem that the fitting person cannot accurately select a suitable clothing code number for trial wear, step S14 (acquiring the three-dimensional model of the garment to be tried on) may specifically include: The size information is matched with the size information of the garment to be tested, the size of the adapted garment to be tested is selected, and the three-dimensional model of the garment to be tried is determined according to the size of the adapted garment to be tested. At this time, the fitter can select a three-dimensional model corresponding to the size of the garment to be tried that is recommended by the virtual fitting system.
试衣者的人体尺寸信息通过与实际的服装尺寸之间存在一定的误差, 例 如, 人体的实际肩宽为 36cm, 而穿着合适的服装的实际测量肩宽可能需要 38cm。 因而, 假定 al, bl, cl…为确定的人体尺寸信息, a', b% c'…分别 为 al , bl, cl…对应的尺寸误差,则最终推荐的服装的尺寸信息, A, B, C...... 为: A^al+a' There is a certain error between the size information of the fitter and the actual size of the garment. For example, the actual shoulder width of the human body is 36 cm, and the actual measured shoulder width of a suitable garment may require 38 cm. Therefore, assuming that al, bl, cl... are the determined body size information, a', b% c'... are the dimensional errors corresponding to al, bl, cl... respectively, then the size information of the final recommended clothing, A, B, C... is: A^al+a'
B-bl+b' B-bl+b'
Ocl+c, 因而, 本公开实施例中, 将所述试衣者的人体尺寸信息与待试穿服装的 尺寸信息进行匹配, 选择适配的待试穿服装的尺码可以具体包括: 首先根据 所述试衣者的人体尺寸信息以及预存的尺寸误差, 计算适合所述试衣者穿着 的服装的尺寸信息; 然后, 将适合所述试衣者穿着的服装的尺寸信息与商家 提供的待试穿服装的尺寸信息进行匹配, 获取与所述试衣者匹配的待试穿服 装的尺码, 并进行锥荐以供选择。 Ocl+c, Thus, in the embodiment of the present disclosure, the size information of the fitter is matched with the size information of the garment to be tested, and the size of the adapted garment to be tested may specifically include: Determining the size information of the fitter and the pre-stored dimensional error, and calculating the size information of the garment suitable for the wearer; and then, the size information of the garment suitable for the wearer is compared with the offer provided by the merchant. The size information of the garment is matched, and the size of the garment to be tried that matches the fitter is obtained, and the cone is recommended for selection.
通过上述方法,可以准确地向试衣者推荐与其匹配的待试穿服装的尺码, 提高了试衣者的体验。 Through the above method, the size of the garment to be tried to match with the fitting person can be accurately recommended, and the experience of the fitting person can be improved.
当商家提供待试穿服装的三维模型时, 试衣者可以选择虚拟试衣系统推 荐的待试穿的服装的三维模型进行虚拟试衣。 When the merchant provides a three-dimensional model of the garment to be tried on, the fitter can select a three-dimensional model of the garment to be tried by the virtual fitting system for virtual fitting.
当商家不提供试穿服装的三维模式时, 本公开实施例的虚拟试衣系统也 可以生成试穿服装的三维模式, 下面将具体说明。 When the merchant does not provide a three-dimensional mode of trying on the garment, the virtual fitting system of the embodiment of the present disclosure can also generate a three-dimensional pattern of the fitting garment, which will be specifically described below.
具体的, 本公开实施例的虚拟试衣系统可以预先通过一服装模型数据库 存储多种款式的服装的三维模型。 例如存储常见的各种款式的服装的三维模 型。 Specifically, the virtual fitting system of the embodiment of the present disclosure may store a three-dimensional model of a plurality of styles of clothing in advance through a clothing model database. For example, a three-dimensional model of a variety of common styles of clothing is stored.
当需要生成待试穿服装的三维模型时, 丛所述服装模型数据库中选择与 所述待试穿服装的款式相匹配的服装三维模型, 根据所述待试穿服装的尺寸 信息及选择的服装三维模型, 生成所述待试穿服装的三维模型。 When it is required to generate a three-dimensional model of the garment to be tried, a three-dimensional model of the garment matching the style of the garment to be tried is selected in the clothing model database, according to the size information of the garment to be tried and the selected garment. The three-dimensional model generates a three-dimensional model of the garment to be tried on.
此外, 本公开实施例中, 如果试衣者对显示的三维试衣图像中的服装的 试穿效果并不满意, 可以重新选择大一码或小一码的服装, 重新生成三维试 衣图像。 Further, in the embodiment of the present disclosure, if the fitting person is not satisfied with the fitting effect of the garment in the displayed three-dimensional fitting image, the garment of the first yard or the small yard may be re-selected to regenerate the three-dimensional fitting image.
上述实施例中,可以按照现有的建模方式创建人体三维模型和服装模型, 也可以按照现有的融合方法进行人体三维模型和待试穿服装的三维模型的融 合, 在此不再赘述。 In the above embodiment, the human body three-dimensional model and the clothing model can be created according to the existing modeling method, and the three-dimensional model of the human body three-dimensional model and the clothing to be tried on can be merged according to the existing fusion method, and details are not described herein again.
请参考图 3 , 图 3为本公开实施例的虛拟试衣系统的结构示意图, 所述 虚拟试衣系统可以为电视机、 个人计算机等具有显示单元的电子设备, 所述 虛拟试衣系统包括: Please refer to FIG. 3 , which is a schematic structural diagram of a virtual fitting system according to an embodiment of the present disclosure. The virtual fitting system may be an electronic device having a display unit such as a television or a personal computer, and the virtual fitting system includes:
深度摄像头 3】, ffi于获取试衣者的人体图像; 所述深度摄像头 31 可设 置于所述虚拟试衣系统的前边框的任意位置处。 The depth camera 3], ffi is used to obtain a human body image of the fitter; the depth camera 31 may be disposed at any position of the front bezel of the virtual fitting system.
人体尺寸信息获取单元 32, 用于根据所述人体图像, 确定所述试衣者的 人体尺寸信息; The human body size information acquiring unit 32 is configured to determine body size information of the sampler according to the human body image;
三维建模单元 33, 用于根据所述人体尺寸信息创建所述试衣者的人体三 维模型; a three-dimensional modeling unit 33, configured to create a human body three-dimensional model of the fitter according to the human body size information;
服装模型获取单元 34, 用于获取待试穿服装的三维模型; a garment model obtaining unit 34, configured to acquire a three-dimensional model of the garment to be tried on;
融合单元 35, 用于将所述试衣者的人体三维模型与待试穿服装的三维模 型进行融合, 得到三维试衣图像; a fusion unit 35, configured to fuse the three-dimensional model of the human body of the sampler with the three-dimensional model of the garment to be tested, to obtain a three-dimensional fitting image;
显示单元 36, 用于显示所述三维试衣图像。 The display unit 36 is configured to display the three-dimensional fitting image.
通过上述实施例提供的虚拟试衣系统, 可以方便地创建人体三维模型, 并将人体三维模型与待试穿服装的三维模型进行融合, 直观地看到三维试衣 效果。 Through the virtual fitting system provided by the above embodiments, the three-dimensional model of the human body can be conveniently created, and the three-dimensional model of the human body is merged with the three-dimensional model of the garment to be tested, and the three-dimensional fitting effect is visually seen.
可选的,所述人体尺寸信息获取单元 32可以具体用于获取外部输入的所 述试衣者的身高信息,根据所述试衣者的身高信息及所述试衣者的人体图像, 确定所述试衣者的人体尺寸信息。 Optionally, the human body size information acquiring unit 32 may be specifically configured to obtain externally input height information of the sampler, and determine the height according to the height information of the sampler and the human body image of the sampler. The body size information of the tester is described.
可选的,所述人体尺寸信息获取单元 32还可以具体用于获取所述深度摄 像头的放置高度信息, 根据所述深度摄像头的放置高度信息, 计算所述试衣 者距离所述虚拟试衣系统的水平距离, 根据所述水平距离及所述深度摄像头 的放置高度信息, 计算所述试衣者的身高信息, 并根据所述试衣者的身高信 息及所述人体图像, 确定所述试衣者的人体尺寸信息。 Optionally, the human body size information acquiring unit 32 is further configured to acquire the placement height information of the depth camera, and calculate the fitter distance from the virtual fitting system according to the placement height information of the depth camera. a horizontal distance, calculating height information of the sampler according to the horizontal distance and the placement height information of the depth camera, and determining the fitting according to the height information of the sampler and the human body image Body size information.
通过上述人体尺寸信息获取单元 32 可以方便地获取试衣者的人体尺寸 可选地,本公开实施例的服装模型获取单元 34可以具体用于将所述试衣 者的人体尺寸信息与商家提供的待试穿服装的尺寸信息进行匹配, 获取与所 述试衣者匹配的待试穿服装的尺码, 并进行推荐以供选择。 The human body size information obtaining unit 32 can conveniently obtain the human body size of the sampler. Optionally, the clothing model obtaining unit 34 of the embodiment of the present disclosure can be specifically used to provide the size information of the sampler and the merchant. The size information of the garment to be tested is matched, the size of the garment to be tried that matches the fitting person is obtained, and a recommendation is made for selection.
可选地,本公开实施例的服装模型获取单元 34还可以具体用于根据所述 试衣者的人体尺寸信息以及预存的尺寸误差, 计算适合所述试衣者穿着的服 装的尺寸信息; 将适合所述试衣者穿着的服装的尺寸信息与商家提供的待试 穿服装的尺寸信息进行匹配, 获取与所述试衣者匹配的待试穿服装的尺码, 并进行推荐以供选择。 Optionally, the clothing model obtaining unit 34 of the embodiment of the present disclosure may further be specifically used according to the The size information of the fitter and the pre-stored size error are calculated, and the size information of the garment suitable for the wearer is calculated; the size information of the garment suitable for the wearer and the size of the garment to be tried by the merchant are The information is matched, the size of the garment to be tried that matches the fitter is obtained, and a recommendation is made for selection.
通过上述服装推荐单元, 可以准确地向试衣者推荐与其匹配的待试穿服 装的尺码, 提高了试衣者的体验。 Through the above-mentioned clothing recommendation unit, it is possible to accurately recommend the size of the fitting to be tested to the fitting person, thereby improving the experience of the fitting person.
当商家提供待试穿服装的三维模型时, 所述服装模型获取单元可以具体 ffi于获取商家提供的待试穿服装的三维模型。 When the merchant provides a three-dimensional model of the garment to be tried on, the garment model obtaining unit may specifically obtain a three-dimensional model of the garment to be tried by the merchant.
本公开实施例的虚拟试衣系统还可以包括: 服装模型数据库, 用于存储 多种款式的服装的三维模型; 当商家不提供待试穿服装的三维模型时, 所述 服装模型获取单元具体用于从所述服装模型数据库中选择与所述待试穿服装 的款式相匹配的服装三维模型, 根据所述待试穿服装的尺寸信息及选择的服 装三维模型, 生成所述待试穿服装的三维模型。 The virtual fitting system of the embodiment of the present disclosure may further include: a clothing model database for storing a three-dimensional model of a plurality of styles of clothing; and when the merchant does not provide a three-dimensional model of the clothing to be tried, the clothing model acquiring unit is specifically used Selecting a three-dimensional model of the garment matching the style of the garment to be tried on, and generating the garment to be tried on the basis of the size information of the garment to be tested and the selected three-dimensional model of the garment. 3D model.
以上所述是本公开的可选实施方式, 应当指出, 对于本技术领域的普通 技术人员来说, 在不脱离本公开所述原理的前提下, 还可以作出若千改进和 润饰, 这些改进和润饰也应视为本公开的保护范围。 The above is an alternative embodiment of the present disclosure, and it should be noted that those skilled in the art can make improvements and refinements without departing from the principles of the present disclosure. Retouching should also be considered as the scope of protection of this disclosure.
Claims
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Cited By (52)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017069958A2 (en) | 2015-10-09 | 2017-04-27 | The Brigham And Women's Hospital, Inc. | Modulation of novel immune checkpoint targets |
| WO2017087708A1 (en) | 2015-11-19 | 2017-05-26 | The Brigham And Women's Hospital, Inc. | Lymphocyte antigen cd5-like (cd5l)-interleukin 12b (p40) heterodimers in immunity |
| WO2018049025A2 (en) | 2016-09-07 | 2018-03-15 | The Broad Institute Inc. | Compositions and methods for evaluating and modulating immune responses |
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| WO2019070755A1 (en) | 2017-10-02 | 2019-04-11 | The Broad Institute, Inc. | Methods and compositions for detecting and modulating an immunotherapy resistance gene signature in cancer |
| WO2019094983A1 (en) | 2017-11-13 | 2019-05-16 | The Broad Institute, Inc. | Methods and compositions for treating cancer by targeting the clec2d-klrb1 pathway |
| EP3569244A1 (en) | 2015-09-23 | 2019-11-20 | CytoImmune Therapeutics, LLC | Flt3 directed car cells for immunotherapy |
| WO2019232542A2 (en) | 2018-06-01 | 2019-12-05 | Massachusetts Institute Of Technology | Methods and compositions for detecting and modulating microenvironment gene signatures from the csf of metastasis patients |
| WO2020072700A1 (en) | 2018-10-02 | 2020-04-09 | Dana-Farber Cancer Institute, Inc. | Hla single allele lines |
| WO2020081730A2 (en) | 2018-10-16 | 2020-04-23 | Massachusetts Institute Of Technology | Methods and compositions for modulating microenvironment |
| WO2020131586A2 (en) | 2018-12-17 | 2020-06-25 | The Broad Institute, Inc. | Methods for identifying neoantigens |
| WO2020186101A1 (en) | 2019-03-12 | 2020-09-17 | The Broad Institute, Inc. | Detection means, compositions and methods for modulating synovial sarcoma cells |
| WO2020191079A1 (en) | 2019-03-18 | 2020-09-24 | The Broad Institute, Inc. | Compositions and methods for modulating metabolic regulators of t cell pathogenicity |
| WO2020236967A1 (en) | 2019-05-20 | 2020-11-26 | The Broad Institute, Inc. | Random crispr-cas deletion mutant |
| WO2020243371A1 (en) | 2019-05-28 | 2020-12-03 | Massachusetts Institute Of Technology | Methods and compositions for modulating immune responses |
| WO2021030627A1 (en) | 2019-08-13 | 2021-02-18 | The General Hospital Corporation | Methods for predicting outcomes of checkpoint inhibition and treatment thereof |
| WO2021041922A1 (en) | 2019-08-30 | 2021-03-04 | The Broad Institute, Inc. | Crispr-associated mu transposase systems |
| CN112884638A (en) * | 2021-02-02 | 2021-06-01 | 北京东方国信科技股份有限公司 | Virtual fitting method and device |
| WO2021212069A1 (en) | 2020-04-17 | 2021-10-21 | City Of Hope | Flt3-targeted chimeric antigen receptor modified cells for treatment of flt3-positive malignancies |
| US11180730B2 (en) | 2015-10-28 | 2021-11-23 | The Broad Institute, Inc. | Compositions and methods for evaluating and modulating immune responses by detecting and targeting GATA3 |
| US11186825B2 (en) | 2015-10-28 | 2021-11-30 | The Broad Institute, Inc. | Compositions and methods for evaluating and modulating immune responses by detecting and targeting POU2AF1 |
| EP3867855A4 (en) * | 2018-10-19 | 2021-12-15 | Perfitly, LLC. | PERFITLY AR / VR PLATFORM |
| CN114663199A (en) * | 2022-05-17 | 2022-06-24 | 武汉纺织大学 | A dynamic display real-time three-dimensional virtual fitting system and method |
| CN115661354A (en) * | 2022-11-07 | 2023-01-31 | 深圳市十二篮服饰有限公司 | 3D intelligent fitting model system |
| US11732257B2 (en) | 2017-10-23 | 2023-08-22 | Massachusetts Institute Of Technology | Single cell sequencing libraries of genomic transcript regions of interest in proximity to barcodes, and genotyping of said libraries |
| US11739156B2 (en) | 2019-01-06 | 2023-08-29 | The Broad Institute, Inc. Massachusetts Institute of Technology | Methods and compositions for overcoming immunosuppression |
| US11793787B2 (en) | 2019-10-07 | 2023-10-24 | The Broad Institute, Inc. | Methods and compositions for enhancing anti-tumor immunity by targeting steroidogenesis |
| US11844800B2 (en) | 2019-10-30 | 2023-12-19 | Massachusetts Institute Of Technology | Methods and compositions for predicting and preventing relapse of acute lymphoblastic leukemia |
| US11897953B2 (en) | 2017-06-14 | 2024-02-13 | The Broad Institute, Inc. | Compositions and methods targeting complement component 3 for inhibiting tumor growth |
| US11913075B2 (en) | 2017-04-01 | 2024-02-27 | The Broad Institute, Inc. | Methods and compositions for detecting and modulating an immunotherapy resistance gene signature in cancer |
| WO2024077256A1 (en) | 2022-10-07 | 2024-04-11 | The General Hospital Corporation | Methods and compositions for high-throughput discovery ofpeptide-mhc targeting binding proteins |
| US11957695B2 (en) | 2018-04-26 | 2024-04-16 | The Broad Institute, Inc. | Methods and compositions targeting glucocorticoid signaling for modulating immune responses |
| US11963966B2 (en) | 2017-03-31 | 2024-04-23 | Dana-Farber Cancer Institute, Inc. | Compositions and methods for treating ovarian tumors |
| US11981922B2 (en) | 2019-10-03 | 2024-05-14 | Dana-Farber Cancer Institute, Inc. | Methods and compositions for the modulation of cell interactions and signaling in the tumor microenvironment |
| US11994512B2 (en) | 2018-01-04 | 2024-05-28 | Massachusetts Institute Of Technology | Single-cell genomic methods to generate ex vivo cell systems that recapitulate in vivo biology with improved fidelity |
| WO2024124044A1 (en) | 2022-12-07 | 2024-06-13 | The Brigham And Women’S Hospital, Inc. | Compositions and methods targeting sat1 for enhancing anti¬ tumor immunity during tumor progression |
| US12036240B2 (en) | 2018-06-14 | 2024-07-16 | The Broad Institute, Inc. | Compositions and methods targeting complement component 3 for inhibiting tumor growth |
| US12049643B2 (en) | 2017-07-14 | 2024-07-30 | The Broad Institute, Inc. | Methods and compositions for modulating cytotoxic lymphocyte activity |
| US12165747B2 (en) | 2020-01-23 | 2024-12-10 | The Broad Institute, Inc. | Molecular spatial mapping of metastatic tumor microenvironment |
| US12171783B2 (en) | 2017-11-13 | 2024-12-24 | The Broad Institute, Inc. | Methods and compositions for targeting developmental and oncogenic programs in H3K27M gliomas |
| US12195725B2 (en) | 2019-10-03 | 2025-01-14 | Dana-Farber Cancer Institute, Inc. | Compositions and methods for modulating and detecting tissue specific TH17 cell pathogenicity |
| EP4495246A2 (en) | 2018-03-01 | 2025-01-22 | University of Kansas | Techniques for generating cell-based therapeutics using recombinant t cell receptor genes |
| US12226479B2 (en) | 2017-05-11 | 2025-02-18 | The General Hospital Corporation | Methods and compositions of use of CD8+ tumor infiltrating lymphocyte subtypes and gene signatures thereof |
| US12227578B2 (en) | 2016-11-11 | 2025-02-18 | The Broad Institute, Inc. | Modulation of intestinal epithelial cell differentiation, maintenance and/or function through T cell action |
| WO2025059533A1 (en) | 2023-09-13 | 2025-03-20 | The Broad Institute, Inc. | Crispr enzymes and systems |
| US12271969B2 (en) | 2020-05-15 | 2025-04-08 | 3M Innovative Properties Company | Personal protective equipment training system with user-specific augmented reality content construction and rendering |
| WO2025097055A2 (en) | 2023-11-02 | 2025-05-08 | The Broad Institute, Inc. | Compositions and methods of use of t cells in immunotherapy |
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| US12394502B2 (en) | 2019-10-02 | 2025-08-19 | The General Hospital Corporation | Method for predicting HLA-binding peptides using protein structural features |
| US12421557B2 (en) | 2019-08-16 | 2025-09-23 | The Broad Institute, Inc. | Methods for predicting outcomes and treating colorectal cancer using a cell atlas |
Families Citing this family (50)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9928412B2 (en) | 2014-10-17 | 2018-03-27 | Ebay Inc. | Method, medium, and system for fast 3D model fitting and anthropometrics |
| CN104318000A (en) * | 2014-10-17 | 2015-01-28 | 上海和鹰机电科技股份有限公司 | Automatic generating method of ready-made garment |
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| CN106372318A (en) * | 2015-02-01 | 2017-02-01 | 陈赛 | Human body model acquiring method for electronic fitting system |
| WO2016123769A1 (en) * | 2015-02-05 | 2016-08-11 | 周谆 | Human interaction method and system for trying on virtual accessory |
| CN106033463A (en) * | 2015-03-19 | 2016-10-19 | 阿里巴巴集团控股有限公司 | Object display method and device |
| CN104835055A (en) * | 2015-03-25 | 2015-08-12 | 深圳市百特文科技有限公司 | Method, system and device for comparing garment data with user stature data via two-dimension codes and prompting corresponding comparison result |
| CN104851024A (en) * | 2015-05-08 | 2015-08-19 | 华侨大学 | Network fitting system |
| WO2016179819A1 (en) * | 2015-05-14 | 2016-11-17 | 周谆 | Human-computer interaction method and system for trying on virtual hand accessory |
| CN104820498B (en) * | 2015-05-14 | 2018-05-08 | 周谆 | The man-machine interaction method and system that the virtual ornaments of hand are tried on |
| CN105141944B (en) * | 2015-09-10 | 2017-07-04 | 相汇网络科技(杭州)有限公司 | A kind of multi-C stereo is imaged fitting mirror |
| CN105184584A (en) * | 2015-09-17 | 2015-12-23 | 北京京东方多媒体科技有限公司 | Virtual fitting system and method |
| CN105788002A (en) * | 2016-01-06 | 2016-07-20 | 湖南拓视觉信息技术有限公司 | 3D virtual shoe fitting method and system |
| CN106022860A (en) * | 2016-05-06 | 2016-10-12 | 邓韬 | Matching method and apparatus |
| CN105956912A (en) * | 2016-06-06 | 2016-09-21 | 施桂萍 | Method for realizing network fitting |
| CN106339920A (en) * | 2016-08-24 | 2017-01-18 | 刘陈 | Fitting system |
| CN106408364A (en) * | 2016-08-24 | 2017-02-15 | 刘陈 | Fitting method and fitting system |
| CN106339929A (en) * | 2016-08-31 | 2017-01-18 | 潘剑锋 | 3D fitting system |
| CN106933976B (en) * | 2017-02-14 | 2020-09-18 | 深圳奥比中光科技有限公司 | Method for establishing human body 3D net model and application thereof in 3D fitting |
| CN106954031A (en) * | 2017-02-20 | 2017-07-14 | 河南工程学院 | An intelligent integrated garment design and try-on control system |
| CN108961415A (en) * | 2017-05-24 | 2018-12-07 | 北京物语科技有限公司 | Three-dimensional fitting method and system based on depth image acquisition equipment |
| CN107393011A (en) * | 2017-06-07 | 2017-11-24 | 武汉科技大学 | A kind of quick three-dimensional virtual fitting system and method based on multi-structured light vision technique |
| CN109146587A (en) * | 2017-06-16 | 2019-01-04 | 阿里巴巴集团控股有限公司 | information measuring method and device |
| CN107862712A (en) * | 2017-10-20 | 2018-03-30 | 陈宸 | Sized data determines method, apparatus, storage medium and processor |
| CN108009577A (en) * | 2017-11-29 | 2018-05-08 | 南京工业大学 | Method for realizing virtual fitting mirror |
| CN108171569B (en) * | 2017-12-11 | 2021-12-21 | 武汉纺织大学 | Feedback type intelligent clothing recommendation method and system |
| CN107958232A (en) * | 2017-12-26 | 2018-04-24 | 石狮市森科智能科技有限公司 | Virtual fit method, system and fitting room based on body feeling interaction |
| CN107918909A (en) * | 2017-12-29 | 2018-04-17 | 南京信息职业技术学院 | Virtual fitting method for physical store |
| CN107993599A (en) * | 2017-12-29 | 2018-05-04 | 黄睿 | A kind of clothes recommend method and advertisement machine |
| CN108492163A (en) * | 2018-03-21 | 2018-09-04 | 江苏科技大学 | A kind of retail method based on data integration processing |
| CN110298720A (en) * | 2018-03-23 | 2019-10-01 | 真玫智能科技(深圳)有限公司 | A kind of custom made clothing design method and platform |
| CN108564612A (en) * | 2018-03-26 | 2018-09-21 | 广东欧珀移动通信有限公司 | Model display method, device, storage medium and electronic equipment |
| CN108711091A (en) * | 2018-05-17 | 2018-10-26 | 张士鹏 | A kind of fitting purchase system and method based on AR technologies |
| CN108648061A (en) * | 2018-05-18 | 2018-10-12 | 北京京东尚科信息技术有限公司 | image generating method and device |
| CN109003168A (en) * | 2018-08-16 | 2018-12-14 | 深圳Tcl数字技术有限公司 | Virtual fit method, smart television and computer readable storage medium |
| CN109461049A (en) * | 2018-10-19 | 2019-03-12 | 刘景江 | A kind of fitting method and device using virtual reality technology |
| CN111147842B (en) * | 2018-11-05 | 2023-05-02 | 北京京东尚科信息技术有限公司 | Wearable object-based matching degree determination method, device and equipment |
| CN109685911B (en) * | 2018-12-13 | 2023-10-24 | 谷东科技有限公司 | AR glasses capable of realizing virtual fitting and realization method thereof |
| CN111324274A (en) * | 2018-12-13 | 2020-06-23 | 北京京东尚科信息技术有限公司 | Virtual makeup trial method, device, equipment and storage medium |
| CN109741390A (en) * | 2018-12-18 | 2019-05-10 | 维沃移动通信有限公司 | A kind of size recommended method and mobile terminal |
| CN109829794A (en) * | 2019-02-28 | 2019-05-31 | 深圳市翰香文化科技传媒有限公司 | A kind of virtual fit method and virtual fitting system based on mobile terminal |
| CN110310167A (en) * | 2019-05-14 | 2019-10-08 | 洪岩 | Customized clothing size matching process based on 3-D scanning and deep learning |
| CN110490708A (en) * | 2019-08-13 | 2019-11-22 | 东莞市纮萦服饰有限公司 | A kind of method of virtual fitting |
| CN111080800A (en) * | 2019-12-18 | 2020-04-28 | 郭艺斌 | A virtual wearing method and virtual wearing system based on human-computer interaction |
| CN111179417B (en) * | 2019-12-31 | 2023-11-24 | 武汉科技大学 | A virtual try-on, try-on system and electronic device |
| CN111881351A (en) * | 2020-07-27 | 2020-11-03 | 深圳市爱深盈通信息技术有限公司 | Intelligent clothing recommendation method, device, equipment and storage medium |
| CN113012303B (en) * | 2021-03-10 | 2022-04-08 | 浙江大学 | Multi-variable-scale virtual fitting method capable of keeping clothes texture characteristics |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156810A (en) * | 2011-03-30 | 2011-08-17 | 北京触角科技有限公司 | Augmented reality real-time virtual fitting system and method thereof |
| US20120086783A1 (en) * | 2010-06-08 | 2012-04-12 | Raj Sareen | System and method for body scanning and avatar creation |
| CN102842089A (en) * | 2012-07-18 | 2012-12-26 | 上海交通大学 | Network virtual fit system based on 3D actual human body model and clothes model |
| CN102956004A (en) * | 2011-08-25 | 2013-03-06 | 鸿富锦精密工业(深圳)有限公司 | Virtual fitting system and method |
| KR20130026380A (en) * | 2011-09-05 | 2013-03-13 | 삼성전자주식회사 | Image based virtual dressing system and method |
| CN103106604A (en) * | 2013-01-23 | 2013-05-15 | 东华大学 | Three dimensional (3D) virtual fitting method based on somatosensory technology |
-
2014
- 2014-06-30 CN CN201410307799.9A patent/CN104091269A/en active Pending
- 2014-08-27 WO PCT/CN2014/085279 patent/WO2016000304A1/en not_active Ceased
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120086783A1 (en) * | 2010-06-08 | 2012-04-12 | Raj Sareen | System and method for body scanning and avatar creation |
| CN102156810A (en) * | 2011-03-30 | 2011-08-17 | 北京触角科技有限公司 | Augmented reality real-time virtual fitting system and method thereof |
| CN102956004A (en) * | 2011-08-25 | 2013-03-06 | 鸿富锦精密工业(深圳)有限公司 | Virtual fitting system and method |
| KR20130026380A (en) * | 2011-09-05 | 2013-03-13 | 삼성전자주식회사 | Image based virtual dressing system and method |
| CN102842089A (en) * | 2012-07-18 | 2012-12-26 | 上海交通大学 | Network virtual fit system based on 3D actual human body model and clothes model |
| CN103106604A (en) * | 2013-01-23 | 2013-05-15 | 东华大学 | Three dimensional (3D) virtual fitting method based on somatosensory technology |
Cited By (57)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3569244A1 (en) | 2015-09-23 | 2019-11-20 | CytoImmune Therapeutics, LLC | Flt3 directed car cells for immunotherapy |
| WO2017069958A2 (en) | 2015-10-09 | 2017-04-27 | The Brigham And Women's Hospital, Inc. | Modulation of novel immune checkpoint targets |
| US11180730B2 (en) | 2015-10-28 | 2021-11-23 | The Broad Institute, Inc. | Compositions and methods for evaluating and modulating immune responses by detecting and targeting GATA3 |
| US11186825B2 (en) | 2015-10-28 | 2021-11-30 | The Broad Institute, Inc. | Compositions and methods for evaluating and modulating immune responses by detecting and targeting POU2AF1 |
| US11001622B2 (en) | 2015-11-19 | 2021-05-11 | The Brigham And Women's Hospital, Inc. | Method of treating autoimmune disease with lymphocyte antigen CD5-like (CD5L) protein |
| US11884717B2 (en) | 2015-11-19 | 2024-01-30 | The Brigham And Women's Hospital, Inc. | Method of treating autoimmune disease with lymphocyte antigen CD5-like (CD5L) protein |
| WO2017087708A1 (en) | 2015-11-19 | 2017-05-26 | The Brigham And Women's Hospital, Inc. | Lymphocyte antigen cd5-like (cd5l)-interleukin 12b (p40) heterodimers in immunity |
| WO2018049025A2 (en) | 2016-09-07 | 2018-03-15 | The Broad Institute Inc. | Compositions and methods for evaluating and modulating immune responses |
| US12447213B2 (en) | 2016-10-07 | 2025-10-21 | The Broad Institute, Inc. | Modulation of novel immune checkpoint targets |
| WO2018067991A1 (en) | 2016-10-07 | 2018-04-12 | The Brigham And Women's Hospital, Inc. | Modulation of novel immune checkpoint targets |
| US12227578B2 (en) | 2016-11-11 | 2025-02-18 | The Broad Institute, Inc. | Modulation of intestinal epithelial cell differentiation, maintenance and/or function through T cell action |
| US11963966B2 (en) | 2017-03-31 | 2024-04-23 | Dana-Farber Cancer Institute, Inc. | Compositions and methods for treating ovarian tumors |
| US11913075B2 (en) | 2017-04-01 | 2024-02-27 | The Broad Institute, Inc. | Methods and compositions for detecting and modulating an immunotherapy resistance gene signature in cancer |
| WO2018191553A1 (en) | 2017-04-12 | 2018-10-18 | Massachusetts Eye And Ear Infirmary | Tumor signature for metastasis, compositions of matter methods of use thereof |
| US12226479B2 (en) | 2017-05-11 | 2025-02-18 | The General Hospital Corporation | Methods and compositions of use of CD8+ tumor infiltrating lymphocyte subtypes and gene signatures thereof |
| US11897953B2 (en) | 2017-06-14 | 2024-02-13 | The Broad Institute, Inc. | Compositions and methods targeting complement component 3 for inhibiting tumor growth |
| US12049643B2 (en) | 2017-07-14 | 2024-07-30 | The Broad Institute, Inc. | Methods and compositions for modulating cytotoxic lymphocyte activity |
| WO2019070755A1 (en) | 2017-10-02 | 2019-04-11 | The Broad Institute, Inc. | Methods and compositions for detecting and modulating an immunotherapy resistance gene signature in cancer |
| US12043870B2 (en) | 2017-10-02 | 2024-07-23 | The Broad Institute, Inc. | Methods and compositions for detecting and modulating an immunotherapy resistance gene signature in cancer |
| US11732257B2 (en) | 2017-10-23 | 2023-08-22 | Massachusetts Institute Of Technology | Single cell sequencing libraries of genomic transcript regions of interest in proximity to barcodes, and genotyping of said libraries |
| WO2019094983A1 (en) | 2017-11-13 | 2019-05-16 | The Broad Institute, Inc. | Methods and compositions for treating cancer by targeting the clec2d-klrb1 pathway |
| US12171783B2 (en) | 2017-11-13 | 2024-12-24 | The Broad Institute, Inc. | Methods and compositions for targeting developmental and oncogenic programs in H3K27M gliomas |
| US11994512B2 (en) | 2018-01-04 | 2024-05-28 | Massachusetts Institute Of Technology | Single-cell genomic methods to generate ex vivo cell systems that recapitulate in vivo biology with improved fidelity |
| EP4495246A2 (en) | 2018-03-01 | 2025-01-22 | University of Kansas | Techniques for generating cell-based therapeutics using recombinant t cell receptor genes |
| US11957695B2 (en) | 2018-04-26 | 2024-04-16 | The Broad Institute, Inc. | Methods and compositions targeting glucocorticoid signaling for modulating immune responses |
| WO2019232542A2 (en) | 2018-06-01 | 2019-12-05 | Massachusetts Institute Of Technology | Methods and compositions for detecting and modulating microenvironment gene signatures from the csf of metastasis patients |
| US12036240B2 (en) | 2018-06-14 | 2024-07-16 | The Broad Institute, Inc. | Compositions and methods targeting complement component 3 for inhibiting tumor growth |
| WO2020072700A1 (en) | 2018-10-02 | 2020-04-09 | Dana-Farber Cancer Institute, Inc. | Hla single allele lines |
| WO2020081730A2 (en) | 2018-10-16 | 2020-04-23 | Massachusetts Institute Of Technology | Methods and compositions for modulating microenvironment |
| EP3867855A4 (en) * | 2018-10-19 | 2021-12-15 | Perfitly, LLC. | PERFITLY AR / VR PLATFORM |
| WO2020131586A2 (en) | 2018-12-17 | 2020-06-25 | The Broad Institute, Inc. | Methods for identifying neoantigens |
| US11739156B2 (en) | 2019-01-06 | 2023-08-29 | The Broad Institute, Inc. Massachusetts Institute of Technology | Methods and compositions for overcoming immunosuppression |
| WO2020186101A1 (en) | 2019-03-12 | 2020-09-17 | The Broad Institute, Inc. | Detection means, compositions and methods for modulating synovial sarcoma cells |
| WO2020191079A1 (en) | 2019-03-18 | 2020-09-24 | The Broad Institute, Inc. | Compositions and methods for modulating metabolic regulators of t cell pathogenicity |
| WO2020236967A1 (en) | 2019-05-20 | 2020-11-26 | The Broad Institute, Inc. | Random crispr-cas deletion mutant |
| WO2020243371A1 (en) | 2019-05-28 | 2020-12-03 | Massachusetts Institute Of Technology | Methods and compositions for modulating immune responses |
| WO2021030627A1 (en) | 2019-08-13 | 2021-02-18 | The General Hospital Corporation | Methods for predicting outcomes of checkpoint inhibition and treatment thereof |
| US12421557B2 (en) | 2019-08-16 | 2025-09-23 | The Broad Institute, Inc. | Methods for predicting outcomes and treating colorectal cancer using a cell atlas |
| WO2021041922A1 (en) | 2019-08-30 | 2021-03-04 | The Broad Institute, Inc. | Crispr-associated mu transposase systems |
| US12297426B2 (en) | 2019-10-01 | 2025-05-13 | The Broad Institute, Inc. | DNA damage response signature guided rational design of CRISPR-based systems and therapies |
| US12394502B2 (en) | 2019-10-02 | 2025-08-19 | The General Hospital Corporation | Method for predicting HLA-binding peptides using protein structural features |
| US11981922B2 (en) | 2019-10-03 | 2024-05-14 | Dana-Farber Cancer Institute, Inc. | Methods and compositions for the modulation of cell interactions and signaling in the tumor microenvironment |
| US12195725B2 (en) | 2019-10-03 | 2025-01-14 | Dana-Farber Cancer Institute, Inc. | Compositions and methods for modulating and detecting tissue specific TH17 cell pathogenicity |
| US11793787B2 (en) | 2019-10-07 | 2023-10-24 | The Broad Institute, Inc. | Methods and compositions for enhancing anti-tumor immunity by targeting steroidogenesis |
| US11844800B2 (en) | 2019-10-30 | 2023-12-19 | Massachusetts Institute Of Technology | Methods and compositions for predicting and preventing relapse of acute lymphoblastic leukemia |
| US12165747B2 (en) | 2020-01-23 | 2024-12-10 | The Broad Institute, Inc. | Molecular spatial mapping of metastatic tumor microenvironment |
| WO2021212069A1 (en) | 2020-04-17 | 2021-10-21 | City Of Hope | Flt3-targeted chimeric antigen receptor modified cells for treatment of flt3-positive malignancies |
| US12271969B2 (en) | 2020-05-15 | 2025-04-08 | 3M Innovative Properties Company | Personal protective equipment training system with user-specific augmented reality content construction and rendering |
| CN112884638A (en) * | 2021-02-02 | 2021-06-01 | 北京东方国信科技股份有限公司 | Virtual fitting method and device |
| CN114663199A (en) * | 2022-05-17 | 2022-06-24 | 武汉纺织大学 | A dynamic display real-time three-dimensional virtual fitting system and method |
| CN114663199B (en) * | 2022-05-17 | 2022-08-30 | 武汉纺织大学 | A dynamic display real-time three-dimensional virtual fitting system and method |
| WO2024077256A1 (en) | 2022-10-07 | 2024-04-11 | The General Hospital Corporation | Methods and compositions for high-throughput discovery ofpeptide-mhc targeting binding proteins |
| CN115661354A (en) * | 2022-11-07 | 2023-01-31 | 深圳市十二篮服饰有限公司 | 3D intelligent fitting model system |
| WO2024124044A1 (en) | 2022-12-07 | 2024-06-13 | The Brigham And Women’S Hospital, Inc. | Compositions and methods targeting sat1 for enhancing anti¬ tumor immunity during tumor progression |
| WO2025059533A1 (en) | 2023-09-13 | 2025-03-20 | The Broad Institute, Inc. | Crispr enzymes and systems |
| WO2025097055A2 (en) | 2023-11-02 | 2025-05-08 | The Broad Institute, Inc. | Compositions and methods of use of t cells in immunotherapy |
| WO2025117544A1 (en) | 2023-11-29 | 2025-06-05 | The Broad Institute, Inc. | Engineered omega guide molecule and iscb compositions, systems, and methods of use thereof |
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