CN113284216B - A method for visualizing hot spots in furniture design - Google Patents

Abstract

The invention discloses a furniture modeling design hotspot visualization method, comprising the following steps: S1, collecting target product samples; S2, sample preprocessing; S3, image processing; S4, sample adjustment: S41, arranging the processed sample images to the same interface, and encoding the layers according to Arabic numbers 1, 2, 3...; S42, taking the layer 1 sample as a reference, using the Photoshop layer hiding function, successively aligning the positions of the products in the remaining layers with the layer 1 samples; S5, visual stacking: superimposing at least two layers together to obtain a visual stacking map; S6, hotspot analysis: according to the contrast of light and dark of the color numbers of each area in the visual stacking map, a furniture product modeling design hotspot map is obtained. The furniture modeling design hotspot visualization method solves the problem of how to display the design hotspots in the form of pictures in the prior art.

Description

A method for visualizing hot spots in furniture design

Technical Field

The invention relates to the field of furniture design, and in particular to a method for visualizing hot spots in furniture modeling design.

Background technique

Furniture is a necessity in life. With the improvement of living standards and the development of individual aesthetics, people are changing furniture more and more frequently and have higher requirements on the appearance of furniture. At the same time, coupled with the rise of real estate fever in the early 21st century, the furniture manufacturing industry, which originally belonged to the traditional handicraft manufacturing industry, has developed rapidly, and a large number of furniture manufacturing companies have emerged in the market. In an era when furniture products are becoming increasingly homogenized, how to stand out from many similar products has become the primary focus of furniture companies. The analysis and research of competitive products of similar products in the market has become an important task before product innovation and design.

The existing competitive product analysis methods mainly include SWOT method and Yes/No method. Among them, SWOT compares and sorts out the four dimensions of "strengths, weaknesses, opportunities, and threats" of products; Yes/No method lists and compares the functional points of products. A relatively close modeling analysis method is morphological analysis, which decomposes the product modeling into components and extracts characteristic lines. In terms of visualizing the modeling focus, the current related methods include the eye movement heat map obtained through eye tracking technology, which is obtained by superimposing the data of multiple users' attention to the product interface.

The existing product competitive analysis methods are to analyze products from a strategic or functional perspective, with little guidance on the analysis of specific product design, and the way the analysis is presented is not intuitive enough. There are two main reasons:

One is that the methods are used for different purposes: for example, the SWOT method is a systematic thinking method that considers issues comprehensively but not in detail; the Yes/No method directly takes product functions as the research object and compares the functions of different products;

The other is the analysis of text, which has not been extended to intuitive visual forms such as pictures: the morphological analysis method analyzes the product shape by decomposing it into components, but the focus is mainly on the local shape characteristics of the product, without analyzing and visualizing its overall shape; the visualization method of the dynamic heat map is a study of users' attention to different areas of the product, and cannot intuitively reflect the design hot trends of product shapes in the market.

Summary of the invention

The present invention aims to provide a method for visualizing hot spots of furniture modeling design, so as to solve the problem in the prior art that how to display the design hot spots in the form of pictures is not realized.

To achieve the above object, the present invention adopts the following technical solutions:

The present invention discloses a furniture modeling design hotspot visualization method, comprising the following steps:

S1. Collect samples of target products;

S2. Sample preprocessing: S21. Delete furniture product images that do not meet the requirements; S22. Classify according to the product angle in the image into major categories; S23. Classify according to the shape type in the minor categories into minor categories;

S3, image processing: S31, remove the color, material and texture of the furniture product itself, and remove the background of the image; S31, fill the same color in the same subcategory of images; S32, process the filled color images with 60% transparency;

S4, sample adjustment: S41, organize the processed sample images into the same interface, and encode their layers according to Arabic numerals 1, 2, 3, ...; S42, take the layer 1 sample as the benchmark, use the Photoshop layer hiding function, and align the positions of the products in the remaining layers with the layer 1 sample one by one;

S5, visual overlay: superimpose at least two layers together to obtain a visual overlay diagram;

S6. Hot spot analysis: Based on the contrast of light and dark colors in each area in the visual overlay diagram, a hot spot map of furniture product design is obtained.

Preferably, step S5 includes the following steps: S51, open layer 1; S52, the designer opens the remaining layers one by one, observes the shape change process, and forms a stacked initial image after all layers are stacked.

Preferably, step S5 further includes the following steps: S53, after executing step S52, outlining the frame edge of the furniture itself on the stacked initial image; S54, removing or fading the color of the outlined frame of the furniture itself to obtain a visual stacked image.

Compared with the prior art, the present invention has the following beneficial effects:

With the growth of personalized demand, product design can increase consumers' attention and purchasing desire to a certain extent (in the process of collecting pictures, pictures with good sales are also used to reflect consumers' preferences), so its analysis and research are particularly important. The present invention finally obtains a visual stacking diagram obtained by superimposing multiple pictures. The more pictures are designed for this structure, the deeper the color depth of the corresponding structure. After removing the main structure of the product itself, the remaining darker areas correspond to structures that are design hot spots. These structures can meet the needs of most consumers, thereby prompting designers to make outstanding designs on these structures to meet customer requirements so that the products can meet the needs of consumers.

Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for visualizing hot spots in furniture design;

Figure 2 is a sample library of tea chairs;

Figure 3 is a sample table of tea chair experiments;

FIG4 is a flowchart of tea chair stacking diagram processing;

Figure 5 is a design hotspot analysis diagram of the tea chair.

Detailed ways

In order to make the technical means, creative features, objectives and functions of the present invention clearer and easier to understand, the present invention is further described below in conjunction with the accompanying drawings and specific embodiments:

As shown in FIG1 , the present invention discloses a method for visualizing hot spots of furniture design, comprising the following steps:

S1. Collect samples of target products; (Note the following points in this step: First, in order to present the best visual visualization effect, the collected samples should have the same angle and the same or similar size, and as many pictures of different products of the same type as possible should be collected; Second, the choice of picture angles generally includes the main view and the perspective view, especially the perspective view angle should be the same, otherwise it will affect the final visual presentation effect)

S2. Sample preprocessing: S21. Delete furniture product images that do not meet the requirements (non-compliance includes: not corresponding type of product, product shooting angle is completely different from other angles, etc.); S22. Classify according to the product angle in the picture (this angle picture can be: unified front view, back view, left view, right view, top view, bottom view, etc.), and divide into major categories; S23. Classify according to the shape type in the sub-category, and divide into sub-categories;

S3, Image processing: S31, remove the color, material and texture of the furniture product itself, and remove the background of the picture; S31, fill the same color in the same subcategory of pictures (the purpose is to facilitate subsequent superposition, multiple pictures are superimposed with the same color, so that many repeated parts are darker in color, which is convenient for designers to analyze); S32, process the filled pictures with 60% transparency;

S4. Sample adjustment: S41. Arrange the processed sample images to the same interface, and encode their layers according to Arabic numerals 1, 2, 3, ...; S42. Take the sample in layer 1 as the benchmark, and use the layer hiding function of Photoshop to align the products in the remaining layers with the sample in layer 1 one by one; (e.g., first, hide all layers except layer 1 and layer 2, and adjust the products in layer 2 to align with layer 1; then, hide layer 2, open layer 3 and adjust it to align with layer 1, and so on, until the position alignment of all sample products is completed, and then hide all layers)

S5, visual stacking (superimpose at least two layers to obtain a visual stacking diagram): S51, open layer 1 (in this step, other layers are hidden); S52, the designer opens the remaining layers one by one, observes the shape change process, and forms a stacking initial diagram after all layers are stacked; S53, after executing step S52, outline the edge of the furniture frame itself on the stacking initial diagram; S54, remove or fade the color of the outlined furniture frame itself to obtain a visual stacking diagram; (the shape of modern furniture products generally follows traditional furniture, so the same type of furniture products will have a common furniture product prototype and basic furniture frame. In theory, When visually stacked, the overlap rate will reach 100%, so the color brightness of the area where it is located is the darkest, which will affect the identification of furniture product design hot spots (the color of the design hot spot area is lighter than the furniture frame itself, and the color of the furniture frame itself is a bit similar to the color of the design hot spot area, so the furniture frame area needs to be de-colored). Therefore, the stacked samples need to be processed to remove the influence of the basic frame. According to the classification of the early furniture product shape, the product prototype is found, and it is decolored, superimposed with color (different from the sample color for stacking) and resized, and finally a visual stacking diagram of the furniture product with the basic frame excluded is obtained)

S6. Hot spot analysis: Based on the contrast of light and dark colors in each area in the visual overlay diagram, a hot spot map of furniture product design is obtained.

Based on the above method, this embodiment provides a tea chair as an example to specifically illustrate the processing steps of the above method:

The furniture (chair) modeling design hotspot visualization method comprises the following steps:

S1. Collect samples of the target product (tea chair). Collect as many samples as possible through official websites, product catalogs, online resources, etc.

S2. Sample preprocessing. S21. Delete furniture product images that do not meet the requirements (non-compliance includes: not corresponding type of products, product shooting angle is completely different from other angles, etc.); S22. Classify according to the product angle in the picture, and preliminarily divide into main view sample library and perspective sample library according to different sample angles. The main view sample library and perspective sample library are major categories; S23. Classify according to the shape type in the minor categories, and divide the samples in the main view sample library into official hat chair type samples and round chair type samples. The official hat chair type samples and round chair type samples are minor categories. The specific samples are shown in Figure 2.

S3. Image processing: S31. Remove the color, material and texture of the furniture products themselves, and remove the background of the pictures; S31. Fill the same color for the pictures of the same subcategory (the purpose is to facilitate subsequent superposition, so that many repeated parts are superimposed with the same color, which is convenient for designers to analyze), and fill the tea chair with light gray; S32. Process the filled picture with 60% transparency, and obtain the experimental sample as shown in Figure 3.

S4. Sample adjustment: S41. Arrange the processed sample images to the same interface, and encode their layers according to Arabic numerals 1, 2, 3, ...; S42. Take the sample in layer 1 as the benchmark, and use the layer hiding function of Photoshop to align the products in the remaining layers with the sample in layer 1 one by one; (e.g., first, hide all layers except layer 1 and layer 2, and adjust the products in layer 2 to align with layer 1; then, hide layer 2, open layer 3 and adjust it to align with layer 1, and so on, until the position alignment of all sample products is completed, and then hide all layers)

S5, visual stacking (overlaying at least two layers to obtain a visual stacking diagram): S51, open layer 1 (in this step, other layers are hidden); S52, the designer opens the remaining layers one by one, observes the shape change process, and forms an initial stacking diagram after all layers are stacked; S53, after executing step S52, outline the edge of the furniture frame itself on the initial stacking diagram; S54, remove or fade the color of the outlined furniture frame itself to obtain a visual stacking diagram; (As shown in Figure 4, the light gray wireframe area in the figure is the basic structure of the chair prototype. In order to better eliminate the influence of the basic structure of the chair prototype, the two traditional chairs are appropriately corrected.)

S6. Hot spot analysis: Based on the contrast of the light and dark colors in each area of the visual overlay diagram, a hot spot map of the tea chair product design is obtained. By comparing the light and dark levels of the colors in each area, the hot spots of the tea chair design are the backrest, armrests and the enclosed area under the seat. Designers can optimize the design of the tea chair based on this, as shown in Figure 5.

The key points of the present invention are sample preprocessing, image processing, visual cascading and cascading sample processing, and the point to be protected is how to present a visual cascading diagram to assist designers in designing.

The analysis of furniture product modeling in the prior art is limited to the extraction of modeling lines and the analysis of users' attention to product modeling. It does not start from existing products to find the design hotspots of product modeling in the market. Therefore, the prior art does not perform a series of processing to remove the influence of product images, but directly uses the original images for analysis and research; the sample size of the analysis of furniture product modeling in the prior art is generally not large, so there is no need to stack the sample images. Similarly, the eye movement heat map uses the stacking of users' attention to product modeling, that is, the user's eye movement trajectory data is stacked, and the present invention uses product image samples as the stacking object. Product modeling design hotspots are a very important part of competitive product analysis, which can provide guidance for specific product modeling design. However, the current furniture product modeling analysis mainly draws conclusions through the subjective summary of designers, and finds certain modeling design rules based on their own experience and understanding of the market. The present invention is based on mature furniture products in the market, and uses the color light and dark changes brought by the superposition of translucent images to obtain a visual distribution map of the modeling design hotspots of furniture products, thereby providing suggestions for specific furniture product modeling design.

Compared with the existing technology, this method has the advantages of easy operation, high visualization, and high efficiency of product modeling analysis. The specific advantages are as follows:

First, this method uses Photoshop, a must-have and commonly used image processing software for designers, as the carrier for image processing and visualization. The commands involved, such as "decolorization", "color overlay", transparency adjustment and sample position alignment, are simple and easy to operate, which is convenient for designers to use;

Second, this method presents the hot spots of furniture product design by semi-transparently changing the brightness of the same color, which is more intuitive and highly visualized than the traditional modeling analysis method;

Third, this method is a visualization technology method proposed for hot spot analysis of furniture product design. It directly takes product modeling pictures as the research object, and uses the processed and layered pictures as hot spot analysis charts. It is simple and fast, and more efficient than traditional technical means.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims (1)

1. A furniture modeling design hot spot visualization method is characterized by comprising the following steps:

s1, collecting a target product sample;

S2, sample pretreatment: s21, deleting furniture product pictures which do not meet the requirements; s22, classifying according to the angles of the products in the pictures, and dividing the images into a large class; s23, classifying the subclasses into subclasses according to modeling types;

S3, picture processing: s31, removing colors, materials and textures of furniture products, and removing picture backgrounds; s32, filling the same color into the same subclass of picture; s33, carrying out 60% transparency treatment on the picture filled with the color;

S4, sample adjustment: s41, arranging the processed sample pictures to the same interface, and coding the picture layers according to Arabic numbers 1, 2, 3; s42, taking the sample of the layer 1 as a reference, and utilizing a photoshop layer hiding function to sequentially align the products in the rest layers with the sample of the layer 1;

S5, visual lamination: superposing at least two layers together to obtain a visual lamination chart;

s6, hot spot analysis: according to the contrast of the color number and the brightness of each region in the visual laminated graph, a furniture product modeling design heat point diagram is obtained;

step S5 comprises the steps of: s51, opening the layer 1; s52, a designer sequentially opens the rest layers, observes the modeling change process, and forms a laminated initial diagram after all the layers are laminated;

Step S5 further comprises the steps of: s53, after the step S52 is executed, drawing the edge of the frame of the furniture on the laminated initial diagram; and S54, removing or fading the color of the frame of the furniture to obtain a visual laminated graph.