WO2018126435A1 - Human body 3d model creation method and system - Google Patents

Abstract

A human body 3D model creation method, comprising: acquiring and storing human body 3D data (S101); acquiring a feature-point marking with respect to the human body 3D data and creating a human body database according to the feature-point marking (S102); and acquiring any one of inputted initial human body 3D models, adjusting the initial human body 3D model according to the human body database and acquiring a human body 3D model (S103). The method is lower in costs and can be used to create a human body 3D model more efficiently, thus lowering the current threshold for secondary development and editing of the human body 3D data obtained from human body 3D scanning currently, and is capable of automatically generating human body data of various body types by means of parametric deformation, thereby significantly lowering the costs of human body 3D acquisition and increasing the acquisition efficiency. The technical solution can be further applied to virtual clothes-fitting, and can be used to automatically generate a 3D virtual human body similar to the body type of a user according to the body type of the user.

Description

Method and system for establishing 3D human body model Technical field

The present invention relates to the field of graphics technologies, and in particular, to a method and system for establishing a 3D human body model.

Background technique

With the development of computer software and hardware technology and the enhancement of image graphics processing capabilities, more and more 3D models have been established in the market. 3D merchandise display technology can display products in a three-dimensional way in webpages, and consumers can watch in all directions. Commodity characteristics, intuitive understanding of product information, its effect and consumers directly face the commodity is almost the same, so the 3D model is applied to all walks of life. The 3D model provides users with a better way to browse, display effects, attract users, and improve user attention, interaction, and participation.

Among them, the 3D human body model is to build a three-dimensional human body model on the computer for display or secondary development to simulate real applications. At present, there are a variety of 3D human body model generation devices, which can scan human body 3D data to a computer. However, the existing 3D human body model has disadvantages in that the scanned 3D human body data is too large, and the cost of establishing the model is high. And the scanned human body cannot add bone information, so the action cannot be bound.

Therefore, how to provide a low cost, freely deformable 3D human body model building method and system has become an urgent problem to be solved in the field.

Summary of the invention

It is an object of the present invention to provide a method and system for establishing a 3D human body model that is less costly and freely deformable.

The object of the present invention is achieved by the following technical solutions:

A method for establishing a 3D human body model, comprising:

Collect and store 3D human body data;

Obtaining a feature point mark of the 3D human body data, and establishing a human body database according to the mark of the feature point;

Obtaining any initial 3D human body model input, and adjusting the initial 3D human body model according to the human body database to acquire a 3D human body model.

Preferably, the step of adjusting the initial 3D human body model according to the human body database specifically includes:

Feature point matching and labeling are performed on the initial 3D human body model corresponding to the feature points of the markers in the human body database.

Preferably, the step of acquiring any initial 3D human body model of the input and adjusting the initial 3D human body model according to the human body database further comprises:

A 3D human body model of any of the input marked feature points is obtained, and the marked feature points of the 3D human body model are adjusted to feature points of the human body database.

Preferably, the step of collecting and storing 3D human body data specifically includes:

Collect 3D body data from at least two males and two females and store them.

Preferably, in the step of acquiring the feature point mark of the 3D body data, 70 feature points are marked in each human body.

The invention discloses a system for establishing a 3D human body model, comprising:

An acquisition module for collecting and storing 3D human body data;

a data processing module, configured to acquire a feature point mark of the 3D human body data, and establish a human body database according to the mark of the feature point;

The matching establishing module is configured to acquire any initial 3D human body model input, and adjust the initial 3D human body model according to the human body database to acquire a 3D human body model.

Preferably, the matching establishment module is specifically configured to:

Feature point matching and labeling are performed on the initial 3D human body model corresponding to the feature points of the markers in the human body database.

Preferably, the matching establishment module is further configured to:

A 3D human body model of any of the input marked feature points is obtained, and the marked feature points of the 3D human body model are adjusted to feature points of the human body database.

Preferably, the collection module is specifically configured to:

Collect 3D body data from at least two males and two females and store them.

Preferably, among the feature point marks acquired by the data processing module, 70 feature points are marked in each human body.

The method for establishing a 3D human body model of the present invention comprises: collecting and storing 3D human body data; acquiring feature point marks on the 3D human body data, and establishing a human body database according to the mark of the feature points; acquiring any initial 3D human body model input, And adjusting the initial 3D human body model according to the human body database to acquire a 3D human body model. In this way, you can collect first Human body data, then feature points are collected on the collected human body data, and then the initial 3D human body model with the feature point mark is used to perform feature point matching, thereby performing parameter transformation on the initial 3D human body model to obtain the target 3D. The human body model turns the shape of the public human body model into a target human body model. This method is cheaper, the 3D human body model is more efficient, and the acquired 3D human body model has bone information, bindable actions, and can be edited and developed twice, which greatly facilitates the use of 3D human body models. .

The method for establishing a 3D human body model provided by the invention can reduce the threshold for secondary development and editing of the 3D human body data obtained by the current 3D human body scan, and can automatically generate human body data of various different body types by means of parametric deformation. Therefore, the cost of the 3D human body collection and the efficiency of the collection are greatly reduced, and the technical solution can be applied to the virtual fitting, and the 3D virtual human body similar to the user's body shape can be automatically generated according to the user's body shape.

DRAWINGS

1 is a flow chart of a method for establishing a 3D human body model according to an embodiment of the present invention;

2 is a flow chart of another method for establishing a 3D human body model according to an embodiment of the present invention;

3 is a schematic diagram of a human body posture in collecting data according to an embodiment of the present invention;

4 is a schematic diagram of feature point marking of collected human body data according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a human body database marked with feature points according to an embodiment of the present invention; FIG.

6 is a schematic diagram of feature point matching on a human body database according to an embodiment of the present invention;

7 is a schematic diagram of automatic marking of a human feature point according to an embodiment of the present invention;

8 is a schematic diagram of a 3D human body model including feature point marks according to an embodiment of the present invention;

9 is a schematic diagram of a 3D human body model after parametric deformation of a 3D human male model human body model according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of a system for establishing a 3D human body model according to an embodiment of the present invention.

detailed description

Although the flowcharts describe various operations as a sequential process, many of the operations can be implemented in parallel, concurrently or concurrently. The order of the operations can be rearranged. Processing may be terminated when its operation is completed, but may also have additional steps not included in the figures. Processing can correspond to methods, functions, procedures, subroutines, subroutines, and the like.

Computer devices include user devices and network devices. The user equipment or client includes but is not limited to a computer, a smart phone, a PDA, etc.; the network device includes but is not limited to a single network service. A server group consisting of multiple network servers or a cloud-based cloud consisting of a large number of computers or network servers. The computer device can operate alone to carry out the invention, and can also access the network and implement the invention through interoperation with other computer devices in the network. The network in which the computer device is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and the like.

The terms "first," "second," and the like may be used herein to describe the various elements, but the elements should not be limited by these terms, and the terms are used only to distinguish one element from another. The term "and/or" used herein includes any and all combinations of one or more of the associated listed items. When a unit is referred to as being "connected" or "coupled" to another unit, it can be directly connected or coupled to the other unit, or an intermediate unit can be present.

The terminology used herein is for the purpose of describing the particular embodiments, The singular forms "a", "an", It is also to be understood that the terms "comprising" and """ Other features, integers, steps, operations, units, components, and/or combinations thereof.

The invention will now be further described with reference to the drawings and preferred embodiments.

As shown in FIG. 1 , a method for establishing a 3D human body model is disclosed in the embodiment, including:

S101. Collect and store 3D human body data;

S102. Acquire a feature point mark of the 3D human body data, and establish a human body database according to the mark of the feature point;

S103. Acquire any initial 3D human body model input, and adjust the initial 3D human body model according to the human body database to acquire a 3D human body model. .

In this way, the human body data can be collected first, then the collected human body data is marked with feature points, and then the initial 3D human body model with the feature point mark is used to perform feature point matching on the input 3D human body model, thereby the initial 3D human body. The model performs parameter transformation to acquire the target 3D human body model and transform the shape of the public human body model into the target human body model. This method is cheaper, the 3D human body model is more efficient, and the acquired 3D human body model has bone information, bindable actions, and can be edited and developed twice, which greatly facilitates the use of 3D human body models. .

The method for establishing a 3D human body model provided by the invention can reduce the threshold for secondary development and editing of the 3D human body data obtained by the current 3D human body scan, and can be parameterized The method automatically generates human body data of various body types, thereby greatly reducing the cost of 3D human body collection and improving the efficiency of collection, and the technical solution can be applied to the virtual fitting, and can automatically generate a shape similar to the user body according to the user's body shape. 3D virtual human body.

According to one of the examples, the step of adjusting the initial 3D human body model according to the human body database specifically includes:

Feature point matching and labeling are performed on the initial 3D human body model corresponding to the feature points of the markers in the human body database.

In this way, the feature points marked in the human body database can be matched to the initial 3D human body model, so that the matched feature points are marked on the initial 3D human body model, the initial 3D human body model is given parameters, and the initial 3D human body model is parameterized.

According to another example, the step of acquiring any of the initial 3D human body models of the input and adjusting the initial 3D human body model according to the human body database further comprises:

A 3D human body model of any of the input marked feature points is obtained, and the marked feature points of the 3D human body model are adjusted to feature points of the human body database.

In this way, the parameters of the 3D human male model can be re-adjusted, the feature points in the human body model database are marked into the 3D human male model, and the 3D human male model is parameterized, thereby retaining the bone information, the binding action and Achieve secondary development.

According to another example, the step of collecting and storing 3D human body data specifically includes:

Collect 3D body data from at least two males and two females and store them.

In this way, more samples are collected, more feature points can be obtained, and the samples in the human body database are more abundant, so that it is easier to find 3D human body data of similar samples when performing feature point matching and marking on the obtained initial 3D human body model. To match and mark. In this embodiment, the 3D human body data of 200 males and 200 females can be taken, which not only facilitates data collection, but also has high collection efficiency.

According to another example, the step of acquiring feature point markers for the 3D body data is marked with 70 feature points in each human body.

In this embodiment, 70 feature points are arranged on the human body for marking, which can cover key components of the human body, thereby more anthropomorphic and realizing in more accurate simulation of human body movements. Of course, other number of feature points may be set in this embodiment, for example, 80, 66, 95, 108, and the like.

In this embodiment, in a more detailed and specific description, the method for establishing a 3D human body model includes:

First build a 3D human body database. In this embodiment, the database includes 200 male 3D human body models and 200 female 3D human body models, and then each feature is marked with a feature point. In this embodiment, the mark may be automatically marked at a preset location, or may be manually The feature points are marked for each model, and manual marking is more precise. In this embodiment, each human body marks 70 feature points, and of course, other number of feature points can be marked. In view of the efficiency problem, 70 feature points are preferred.

Then, using the robot learning method, the system learns the feature point marks in the above 3D human body database, and constructs an automatic feature point marking system, which is a system capable of automatically marking any three-dimensional human body model. In this embodiment, for any three-dimensional human body model input,

During the process, an arbitrary scanned 3D mannequin is input, and then the feature point marking system is used to automatically mark the input 3D human body model.

Finally, according to the 3D human body that has automatically marked the feature points, the 3D human body can be deformed by parameters, or the existing 3D human male model (the male mold has also been subjected to feature point marking) can be transformed into the 3D human body. The body shape, and can retain the bone information of the 3D human male model, so that the action binding can be performed.

Specifically, as shown in FIG. 2, the method for establishing a 3D human body model in this embodiment includes:

Step S1: collecting human body data. In this embodiment, a human body data of 200 male human bodies and 200 female human bodies can be collected by using a 3D human body scanner. The posture and angle of the acquisition can be seen in Figure 3. When scanning, the human body poses T-pose (the legs are naturally separated, the shoulders are flush, the arms are raised horizontally), the scanning process is fixed, and the tights are worn. Do not wear shoes.

Step S2: Acquire a feature point mark on the collected human body data. Referring to FIG. 4, in this embodiment, the collected 400 (200 male and female) 3D human body data can be marked with artificial feature points, and each human body marks 70 feature points. Of course, the number of marked feature points may also be other, such as 95, 101, and the like.

Step S3: Construct a human body database including feature points. In this embodiment, as shown in Fig. 5, a human body database including 400 human body models (200 males and females each) and marked with feature points can be constructed.

Step S4: Perform intelligent learning and feature point matching on the human body database. In this embodiment, as shown in FIG. 6, the human body database constructed in step S3 can be intelligently learned and feature point matching using a robot or a robot system.

Step S5: Acquire a human body feature point automatic marking system. In this embodiment, as shown in FIG. 7, the human body feature point automatic marking system can automatically input any 3D human body model. The points are matched and marked, so that any 3D human body model input can change its parameters or re-parameterize it, thereby facilitating the operation of changing 3D mannequin actions, secondary editing and development.

Step S6: Input an arbitrary initial 3D human body model.

Step S7: Automatic feature point marking is performed on the input initial 3D human body model using the human body feature point automatic marking system. In this embodiment, referring to FIG. 8, a 3D human body model including a feature point mark, that is, a parameterized 3D human body model, is output by performing automatic feature point marking on the initial 3D human body model in step 6.

Step S8: input a 3D human male model that has marked the feature points;

Step S9: According to the initial 3D human body model after the automatic feature point marking, the 3D human male model is marked with feature points to obtain a 3D human body model. In this embodiment, referring to FIG. 9, according to the parameterized 3D human body model outputted in step S7, the 3D human body model input in step S8 is parametrically deformed, thereby acquiring a 3D human body model.

Therefore, in this embodiment, the latest 3D human body model is output, and the body shape is the same as the 3D human body shape input in step S6, but the bone information is included, and the action can be bound and the secondary development can be realized.

According to one embodiment of the present invention, as shown in FIG. 10, a system for establishing a 3D human body model is disclosed, including:

The collecting module 201 is configured to collect and store 3D human body data;

The data processing module 202 is configured to acquire a feature point mark of the 3D human body data, and establish a human body database according to the mark of the feature point;

The matching establishing module 203 is configured to acquire any initial 3D human body model input, and adjust the initial 3D human body model according to the human body database to acquire a 3D human body model.

In this way, the human body data can be collected first, then the collected human body data is marked with feature points, and then the initial 3D human body model with the feature point mark is used to perform feature point matching on the input 3D human body model, thereby the initial 3D human body. The model performs parameter transformation to acquire the target 3D human body model and transform the shape of the public human body model into the target human body model. This method is cheaper, the 3D human body model is more efficient, and the acquired 3D human body model has bone information, bindable actions, and can be edited and developed twice, which greatly facilitates the use of 3D human body models. .

The method for establishing a 3D human body model provided by the invention can reduce the threshold for secondary development and editing of the 3D human body data obtained by the current 3D human body scan, and can automatically generate human body data of various body types by means of parametric deformation. , which greatly reduces the acquisition of 3D human body The present and the collection efficiency is improved, and the technical solution can be applied to the virtual fitting, and the 3D virtual human body similar to the user's body shape can be automatically generated according to the user's body type. In this embodiment, the acquisition module 201 can perform scanning acquisition using a 3D scanner.

According to one of the examples, the matching establishment module is specifically configured to:

Feature point matching and labeling are performed on the initial 3D human body model corresponding to the feature points of the markers in the human body database.

In this way, the feature points marked in the human body database can be matched to the initial 3D human body model, so that the matched feature points are marked on the initial 3D human body model, the initial 3D human body model is given parameters, and the initial 3D human body model is parameterized.

According to another example, the match establishing module is further configured to:

A 3D human body model of any of the input marked feature points is obtained, and the marked feature points of the 3D human body model are adjusted to feature points of the human body database.

In this way, the parameters of the 3D human male model can be re-adjusted, the feature points in the human body model database are marked into the 3D human male model, and the 3D human male model is parameterized, thereby retaining the bone information, the binding action and Achieve secondary development.

According to another example, the acquisition module is specifically configured to:

Collect 3D body data from at least two males and two females and store them.

In this way, more samples are collected, more feature points can be obtained, and the samples in the human body database are more abundant, so that it is easier to find 3D human body data of similar samples when performing feature point matching and marking on the obtained initial 3D human body model. To match and mark. In this embodiment, the 3D human body data of 200 males and 200 females can be taken, which not only facilitates data collection, but also has high collection efficiency.

According to another example, among the feature point marks acquired by the data processing module, 70 feature points are marked in each human body.

In this embodiment, 70 feature points are arranged on the human body for marking, which can cover key components of the human body, thereby more anthropomorphic and realizing in more accurate simulation of human body movements. Of course, other number of feature points may be set in this embodiment, for example, 80, 66, 95, 108, and the like.

The above is a further detailed description of the present invention in connection with the specific preferred embodiments, and the specific embodiments of the present invention are not limited to the description. It will be apparent to those skilled in the art that the present invention may be made without departing from the spirit and scope of the invention.

Claims (10)

A method for establishing a 3D human body model, comprising: Collect and store 3D human body data; Obtaining a feature point mark of the 3D human body data, and establishing a human body database according to the mark of the feature point; Obtaining any initial 3D human body model input, and adjusting the initial 3D human body model according to the human body database to acquire a 3D human body model. The method according to claim 1, wherein the step of adjusting the initial 3D human body model according to the human body database comprises: Feature point matching and labeling are performed on the initial 3D human body model corresponding to the feature points of the markers in the human body database. The method according to claim 1, wherein the step of acquiring any of the initial 3D human body models input and adjusting the initial 3D human body model according to the human body database further comprises: A 3D human body model of any of the input marked feature points is obtained, and the marked feature points of the 3D human body model are adjusted to feature points of the human body database. The method according to claim 1, wherein the step of collecting and storing 3D human body data specifically comprises: Collect 3D body data from at least two males and two females and store them. The method according to claim 1, wherein in the step of acquiring feature point marks for the 3D body data, 70 feature points are marked in each human body. A system for establishing a 3D human body model, comprising: An acquisition module for collecting and storing 3D human body data; a data processing module, configured to acquire a feature point mark of the 3D human body data, and establish a human body database according to the mark of the feature point; The matching establishing module is configured to acquire any initial 3D human body model input, and adjust the initial 3D human body model according to the human body database to acquire a 3D human body model. The system according to claim 6, wherein the matching establishing module is specifically configured to: Feature point matching and labeling are performed on the initial 3D human body model corresponding to the feature points of the markers in the human body database. The system of claim 6 wherein said matching establishment module is further Steps are used to: A 3D human body model of any of the input marked feature points is obtained, and the marked feature points of the 3D human body model are adjusted to feature points of the human body database. The system according to claim 6, wherein the acquisition module is specifically configured to: Collect 3D body data from at least two males and two females and store them. The system according to claim 6, wherein the feature point marks acquired by the data processing module are marked with 70 feature points in each human body.

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