CN111368351A - Emotional design method for product CMF under perceptual information' grafting-mapping - Google Patents

Abstract

The invention discloses a product CMF emotional design method under perceptual information 'transferring-mapping', which specifically comprises the following steps: a designer establishes product style perception description keywords according to the category of a product to be designed, manufactures a CMF (China Mobile network) image chart, extracts a main color block and a color matching schematic diagram according to the keywords, selects a product with the same category as the product to be designed, and extracts a product color scheme; the correlation among the user CMF image, color block combination, color matching schematic diagrams and product color schemes is determined by weighting Minkowski distance, the CMF image with high correlation and the color matching schematic diagrams form an image source, a user selects the CMF image or the color matching schematic diagrams from the image source according to the perceptual requirement of the user, and a designer finishes the product color scheme of a new product according to the selection of the user. The invention solves the problem that the perceptual demand information of the user cannot be effectively mapped into the CMF design of the product in the prior art.

Description

Emotional design method for product CMF under perceptual information' grafting-mapping

Technical Field

The invention belongs to the technical field of emotional design methods of products, and relates to a CMF emotional design method of a product under the condition of transferring and mapping perceptual information.

Background

Before the CMF (color, material and surface treatment process) of a product is designed, how to express the emotion of texture and color implication and mapping the user perceptual information is a hot point of the CMF design research of the product. The user is a fuzzy and non-quantitative perceptual information for the CMF perception judgment and the expression of emotional preference of the product. The CMF image design of the product is realized according to the emotional preference of the user, the subjective judgment is reduced, and the color emotional design is improved and more paid more attention by enterprises. The CMF image is an image and a psychological image which are generated by comprehensively combining physical attributes and abstract color culture attributes of color and generates a comprehensive perception image of the CMF in the mind by combining self culture background and experience after people see the color and the extreme texture of the product. During CMF design, more deep implicit information such as color emotion and image is contained in explicit information such as color physics and geometric attributes.

At present, a method of extracting colors from images and existing products is adopted in case-based color design, the extracted colors are used as color sources for product color matching, physical information is obtained and transferred, and conversion of color emotion information cannot be achieved. The method is characterized in that the method comprises the following steps of combining and extracting image colors by using the existing software, generating a color scheme by extracting color random combination, and then obtaining the optimal design by evaluation. The method better simulates the steps of the color design from inspiration source to scheme, and better acquires the explicit information of color physics, geometric attributes and the like. For the product, the color cannot be seen in isolation. Good color is definitely acted on the product together with materials and processes, and the formed product is not only aesthetic in form through visual perception, but also contains the existence of texture, brand feeling and cultural feeling, so that the CMF is the leading idea of the color design of the current product. During the Pahaosi school, "pay attention to the research on the influence of materials and texture on the design", skillfully utilizes the relationship between the aesthetic feeling of materials and the aesthetic feeling of color, forms natural combination with the product form, shapes the simple beauty of the product form, and is a complete expression of the product color design. However, how to obtain a plurality of information which is difficult to quantify, such as the texture and color emotion of the user tendency, and map the information to the product design still needs to be studied deeply. The CMF design of products further requires that the products be able to carry the user's perceptual needs with explicit physical elements. The direct conversion of the perceptual information hidden by the user and difficult to objectively describe and the characteristics of the model is a hot spot of the personalized design research of the product.

In reality, professional color templates are widely used in the CMF design of products in an intuitive, tactile and sensible manner. However, the CMF template does not give the user the style perception of intuitively producing CMFs.

Disclosure of Invention

The invention aims to provide a method for emotional design of a product CMF based on perceptual information 'transference-mapping', which solves the problem that the perceptual demand information of a user cannot be effectively mapped to the product CMF design in the prior art.

The invention adopts the technical scheme that a product CMF emotional design method under perceptual information 'transferring-mapping' is implemented according to the following steps:

step 1, a designer determines the NP category of a product to be designed, and i product style perception description keywords are established according to the NP category of the product to be designed;

step 2, a designer makes n CMF image maps according to the product style perception description keywords established in the step 1, and the N CMF image maps are placed in a set G, wherein G is { G ═ G }₁、G₂，…，G_n}；

Step 3, the designer extracts the color blocks with the same number as the color matching number of the product to be designed and the colors corresponding to the color blocks from each CMF image map in the step 2, a plurality of color blocks extracted from each CMF image map form a color block combination, namely n color block combinations are extracted, the color block combinations are placed in a set C, and C is { C ═ C₁、C₂，…，C_n}；

And 4, according to the color block combinations extracted in the step 3, a designer respectively determines main colors, decoration colors and fixed colors in each color block combination according to personal experience, adjusts the area relationship of color matching combinations, makes a color matching schematic diagram and puts the color matching schematic diagram in a set M, wherein M is { M ═ M {₁、M₂，…，M_mDenotes a setThe number of the color matching diagrams in M, wherein M is n;

step 5, the designer selects n existing products OP with the same category as the NP of the product to be designed, completes the color scheme of the product OP through the color matching schematic diagram, and puts the products into a set P, wherein P is { P ═ P { (P) }₁、P₂，…，P_n}，P₁-P_nProduct color schemes for 1 st to nth products OP, respectively;

step 6, carrying out a style perception evaluation experiment on each CMF image, color block combination, color matching schematic diagram and product color scheme of each product OP in a user scoring mode to obtain a corresponding style perception value, determining correlation among the CMF image, the color block combination, the color matching schematic diagram and the product color scheme of each product OP by weighting Minkowski distance, if the distance is greater than a determined numerical value, the correlation is small, the CMF image and the color matching schematic diagram with small correlation are manufactured by replacing according to the steps 2-4, if the distance is less than the determined numerical value, the correlation is high, and the CMF image and the color matching schematic diagram with high correlation form an image source;

step 7, selecting the CMF image or color matching schematic diagram of the tendency of the user in the CMF image or color matching schematic diagram forming image source according to the newly designed product characteristics and the perceptual requirements of the tendency of the user;

step 8, the designer completes the product color scheme of the new product NP according to the color matching schematic diagram obtained in the step 7;

and 9, if the product color scheme of the new product meets the requirements of the user, the new product is used as a selection scheme, and if the product color scheme of the new product does not meet the requirements of the user, the method returns to the step 7 to start reselection.

The present invention is also characterized in that,

the CMF ideogram in step 2 conforms to the color style of the product style perception description keyword in step 1.

In step 6, performing a style perception evaluation experiment on each CMF image map, color block combination, color matching schematic diagram and product color scheme of each product OP in a user scoring mode to obtain corresponding style perception values, specifically:

selecting L potential users, respectively carrying out style perception evaluation scoring on each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP, and then respectively averaging the scores of the L potential users on each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP to obtain the style perception value of each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP.

L potential users include H groups of people, H₁-H_hEach group of people has at least one person, and the weight of each group of people is w₁、w₂、w₃、、、w_h，w₁+w₂+w₃+、、、+w_hRespectively calculating the average value of the style perception evaluation scores of each product style perception description keyword corresponding to each CMF image map or color block combination or color matching schematic diagram or product color scheme of each product OP by each group, and respectively recording as: l is₁-L_hThe method for calculating the style perception value of each product style perception description keyword corresponding to each CMF image map or color block combination or color matching schematic diagram or product color scheme of each product OP comprises the following steps:

S＝w₁*L₁+w₂*L₂+w₃*L₃+、、、+w_h*L_h

and S is a style perception value of any product style perception description keyword corresponding to the CMF image map or color block combination or color matching schematic diagram or the product color scheme of each product OP.

The correlation between the user CMF ideogram, color block combination, color matching scheme and the product color scheme for each product OP is established by weighting the minkowski distances specifically:

computing a fuzzy set weighted hamming distance d between color image perceptions of CMF image and patch combinations_Hω(G, C), CMF ideogram and color schemeFuzzy set weighted hamming distance d between color image perceptions of a graph_HωFuzzy set weighted Hamming distance d between color image perceptions of color schemes of (G, M), CMF image maps, and products_Hω(G, P), color block combinations, and fuzzy set weighted Hamming distance d between color image perceptions of color schemes of products_Hω(C, P), color scheme and fuzzy set weighted Hamming distance d between color image perceptions of a color scheme of a product_Hω(M，P)；

The designer weights the hamming distance d based on the blur set between the calculated CMF image and the color image perception of the color scheme of the product_Hω(G, P) determining a distance, and calculating d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(M, P) are compared with the distances, respectively, if d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_HωIf the distance of (M, P) is less than the determined distance, the relevance is high, the CMF image map with high relevance and the color matching schematic map form an image map source, and if any one of the CMF image map and the color matching schematic map is greater than the determined distance, the corresponding G, C, M or P is adjusted;

or the designer weights the hamming distance d according to the calculated fuzzy set between the CMF image and the color image perception of the color scheme of the product_Hω(G, P) determining a range of distances, and calculating d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(M, P) are compared with the distance ranges, respectively, if d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_HωAnd (M, P) when the distance falls within the distance range, the correlation is high, the CMF image map and the color matching schematic map with high correlation form an image source, and if any one does not fall within the distance range, the corresponding G, C, M or P is adjusted.

The method for calculating the fuzzy set weighted Hamming distance between color image perceptions comprises the following steps:

d_Hω(F，S)＝ω₁|Fx₁-Sx₁|+ω₂|Fx₂-Sx₂|+…+ω_i|Fx_i-Sx_i|

wherein x is₁-x_iRespectively representing 1 st to ith style perception description keywords, F representing a CMF image picture or a color block combination or color matching schematic diagram, S representing a color block combination or color matching schematic diagram or a color scheme of a product, and Fx₁-Fx_iRespectively representing the style perception values Sx of the 1 st to the ith style perception description keywords respectively corresponding to the CMF image diagram or color block combination or color matching diagram₁-Sx_iRespectively representing the style perception values omega of 1 st to ith style perception description keywords corresponding to the color schemes of color block combinations or color matching schematics or products₁、ω₂、…、ω_iWeights, ω, describing keywords for the 1 st to ith style perceptions₁+ω₂+…+ω_i＝1。

The invention has the advantages that

On the basis of the concept of ' transference-mapping ' of product design perceptual information, the CMF image and the color matching schematic diagram ' are used as transference media of user perceptual information, the perception requirement of a user on the CMF fuzzy product is visualized through the selection of the user on the CMF image, and then the color matching schematic diagram is used as a ' transference-mapping ' tool of the CMF image information, so that the CMF image perception information is conveniently and intuitively mapped into a product design scheme.

Drawings

FIG. 1 is a flowchart of a CMF emotional design method of a product under perceptual information "imputation-mapping" according to the present invention;

FIG. 2 is a diagram of an embodiment of a color matching schematic diagram in the CMF emotional design method of products under perceptual information "imputation-mapping" of the present invention;

FIG. 3 is a diagram of the design process of a test sample 2 in an embodiment of the emotional design method of CMF products under the perceptual information "imputation-mapping" of the present invention;

FIG. 4 is a diagram of the design process of an embodiment of the emotional design method of CMF products under the perceptual information "imputation-mapping" of the present invention;

FIG. 5 is a fuzzy distance line graph of an image perceptual information set between samples in an embodiment of a CMF emotional design method of a product under perceptual information "imputation-mapping" of the present invention;

FIG. 6 is a line graph of the average fuzzy distance of the image perceptual information sets between samples in the embodiment of the emotional information design method of the product CMF under the perceptual information "imputation-mapping" of the present invention;

FIG. 7 is a color matching result diagram of an electric vehicle in an embodiment of the product CMF emotional design method under perceptual information "imputation-mapping" of the present invention.

Detailed Description

The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

The invention relates to a product CMF emotional design method under perceptual information 'transferring-mapping', which is implemented according to the following steps:

step 1, a designer determines the NP category of a product to be designed, and i product style perception description keywords are established according to the NP category of the product to be designed;

step 2, a designer makes n CMF image maps according to the product style perception description keywords established in the step 1, and the N CMF image maps are placed in a set G, wherein G is { G ═ G }₁、G₂，…，G_nThe CMF image map conforms to the color style of the product style perception description key words in the step 1;

step 3, the designer extracts the color blocks with the same number as the color matching number of the product to be designed and the colors corresponding to the color blocks from each CMF image map in the step 2, a plurality of color blocks extracted from each CMF image map form a color block combination, namely n color block combinations are extracted, the color block combinations are placed in a set C, and C is { C ═ C₁、C₂，…，C_n}；

And 4, according to the color block combinations extracted in the step 3, a designer respectively determines theme colors, decoration colors and fixed colors in each color block combination according to personal experience, adjusts the area relationship of color matching combinations, makes a color matching schematic diagram and puts the color matching schematic diagram in a set M, wherein M is { M ═ M {₁、M₂，…，M_mM represents the number of color matching diagrams in the set M, and M is equal to n;

step 5, the designer selects n products to be designedAnd (3) finishing the color scheme of the existing product OP with the same class of the product NP through a color matching schematic diagram, and putting the product OP into a set P, wherein P is { P ═ P₁、P₂，…，P_n}，P₁-P_nProduct color schemes for 1 st to nth products OP, respectively;

step 6, carrying out a style perception evaluation experiment on each CMF image, color block combination, color matching schematic diagram and product color scheme of each product OP in a user scoring mode to obtain a corresponding style perception value, determining correlation among the CMF image, the color block combination, the color matching schematic diagram and the product color scheme of each product OP by weighting Minkowski distance, if the distance is greater than a determined numerical value, the correlation is small, the CMF image and the color matching schematic diagram with small correlation are manufactured by replacing according to the steps 2-4, if the distance is less than the determined numerical value, the correlation is high, and the CMF image and the color matching schematic diagram with high correlation form an image source;

the method comprises the following steps of carrying out a style perception evaluation experiment on each CMF image map, color block combination, color matching schematic diagram and product color scheme of each product OP in a user scoring mode to obtain corresponding style perception values, wherein the style perception evaluation experiment specifically comprises the following steps: selecting L potential users, respectively carrying out style perception evaluation scoring on each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP, and then respectively averaging the scores of the L potential users on each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP to obtain each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword style perception value corresponding to the product color scheme of each product OP;

alternatively, the L potential users include H groups of people, each H₁-H_hEach group of people has at least one person, and the weight of each group of people is w₁、w₂、w₃、、、w_h，w₁+w₂+w₃+、、、+w _h1, respectively, are obtainedAnd (3) the average value of the style perception evaluation scores of each product style perception description keyword corresponding to each CMF image map or color block combination or color matching schematic diagram or product color scheme of each product OP by each type of crowd is respectively marked as: l is₁-L_hThe method for calculating the style perception value of each product style perception description keyword corresponding to each CMF image map or color block combination or color matching schematic diagram or product color scheme of each product OP comprises the following steps:

S＝w₁*L₁+w₂*L₂+w₃*L₃+、、、+w_h*L_h

s is a style perception value of any product style perception description keyword corresponding to a CMF (color model context factor) image graph or color block combination or color matching schematic diagram or a product color scheme of each product OP;

wherein the determination of the correlation between the user CMF ideogram, color block combination, color matching scheme, and product color scheme for each product OP by weighting minkowski distances is specifically:

computing a fuzzy set weighted hamming distance d between color image perceptions of CMF image and patch combinations_Hω(G, C), fuzzy set weighted Hamming distance d between color image perceptions of CMF image graph and color scheme_HωFuzzy set weighted Hamming distance d between color image perceptions of color schemes of (G, M), CMF image maps, and products_Hω(G, P), color block combinations, and fuzzy set weighted Hamming distance d between color image perceptions of color schemes of products_Hω(C, P), color scheme and fuzzy set weighted Hamming distance d between color image perceptions of a color scheme of a product_Hω(M，P)；

The designer weights the hamming distance d based on the blur set between the calculated CMF image and the color image perception of the color scheme of the product_Hω(G, P) determining a distance, and calculating d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(M, P) are compared with the distances, respectively, if d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(MIf any one of the distances is greater than the determined distance, the corresponding G, C, M or P is adjusted;

or the designer weights the hamming distance d according to the calculated fuzzy set between the CMF image and the color image perception of the color scheme of the product_Hω(G, P) determining a range of distances, and calculating d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(M, P) are compared with the distance ranges, respectively, if d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_HωIf the distance of (M, P) falls within the distance range, the correlation is high, the CMF image map with high correlation and the color matching schematic map form an image map source, and if any one does not fall within the distance range, the corresponding G, C, M or P is adjusted;

the method for calculating the fuzzy set weighted Hamming distance between color image perceptions comprises the following steps:

d_Hω(F，S)＝ω₁|Fx₁-Sx₁|+ω₂|Fx₂-Sx₂|+…+ω_i|Fx_i-Sx_i|

wherein x is₁-x_iRespectively representing 1 st to ith style perception description keywords, F representing a CMF image picture or a color block combination or color matching schematic diagram, S representing a color block combination or color matching schematic diagram or a color scheme of a product, and Fx₁-Fx_iRespectively representing the style perception values Sx of the 1 st to the ith style perception description keywords respectively corresponding to the CMF image diagram or color block combination or color matching diagram₁-Sx_iRespectively representing the style perception values omega of 1 st to ith style perception description keywords corresponding to the color schemes of color block combinations or color matching schematics or products₁、ω₂、…、ω_iWeights, ω, describing keywords for the 1 st to ith style perceptions₁+ω₂+…+ω_i＝1。

Step 7, selecting the CMF image or color matching schematic diagram of the tendency of the user in the CMF image or color matching schematic diagram forming image source according to the newly designed product characteristics and the perceptual requirements of the tendency of the user;

step 8, the designer completes the product color scheme of the new product NP according to the color matching schematic diagram or the CMF image diagram obtained in the step 7;

and 9, if the product color scheme of the new product meets the requirements of the user, the new product is used as a selection scheme, and if the product color scheme of the new product does not meet the requirements of the user, the method returns to the step 7 to start reselection.

Example (b): take the design of matching colors of a novel single-person walking tool as an example

Step 1, determining main keywords of the color perception requirement of the product according to the characteristics of the product; in the experiment for determining the color scheme, the requirement difference of 'gender (male-female)' is heavily considered for the product characteristics, so that the gender of the color is also taken as one of the keywords in the color image, the gender perception score of 0.1 represents a very male color, 0.9 represents a very female color, and 0.5 represents a neutral color. Setting the key words of CMF image perception of the product as fashion, novelty and dynamic (color contrast is strong), and setting the judgment score of the "perception degree" of each image as: "0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9", the higher the score is, the more fashionable, the more dynamic, the more novel, then the designer sets the weight coefficients of gender, fashion, novelty, and dynamic to be omega₁-ω₄＝(0.1,0.3,0.4,0.2)；

Step 2, preparing a sample, as shown in fig. 4, firstly determining an image (CMF image) capable of showing CMF of a product based on the product image keyword determination, wherein an experimental research object is a single electric vehicle, so 6 CMF image is determined in the research, a designer adjusts the area relationship of color matching combination according to the color area feeling of the product to generate a color matching schematic diagram, the current designer often uses color matching diagrams capable of showing different area combinations as the reference of product color matching or color communication to more intuitively show a product color matching image and convey product color image information, a two-dimensional graph of the color matching is defined as the color matching schematic diagram, as shown in fig. 2, and the color matching is completedThe product is shown in a CMF color matching schematic diagram in figure 2, and is shown in experimental sample information in table 1, and the image, the color block extraction, the color matching schematic diagram and the product color image perception situation are expressed as a discourse domain X ═ Xx₁，Xx₂，Xx₃，Xx₄Set of ambiguities on, x₁-x₄Respectively represent the 1 st to 4 th style perception description keywords, namely: personality, fashion, novelty, motion, Xx₁The color schemes representing CMF image diagrams or color block combinations or color matching diagrams or products respectively correspond to the style perception values of the 1 st to 4 th style perception description keywords, and the complete test sample process is shown in FIG. 3;

thirdly, testing a correlation experiment; 30 students who find industrial design in the research respectively score the CMF image, the color block extraction, the color matching schematic diagram and the color scheme of the product to obtain an average score, the color scheme of the product corresponds to the style perception values of the four style perception description keywords, and the style perception values of the CMF image, the color block combination, the color matching schematic diagram and the color scheme of the product corresponding to the four style perception description keywords of the sample are listed in detail in table 1.

TABLE 1 color image perception evaluation

Taking sample # 2 as an example, the discourse domains of the CMF image, the color block combination, the color matching schematic diagram and the product color scheme are respectively as follows:

G₂＝{G₂x₁，G₂x₂，G₂x₃，G₂x₄}＝{0.525，0.5875，0.6，0.65}，

C₂＝{C₂x₁，C₂x₂，C₂x₃，C₂x₄}＝{0.595，0.525，0.5375，0.6}，

M₂＝{M₂x₁，M₂x₂，M₂x₃，M₂x₄}＝{0.5875，0.5625，0.535，0.575}，

P₂＝{P₂x₁，P₂x₂，P₂x₃，P₂x₄}＝{0.65，0.54，0.5125，0.575}；

as the CMF image map can intuitively express the color and texture of color matching of the product, the fuzzy set weighted Hamming distance d between the CMF image map and the color image perception of the extracted color block is respectively calculated in the text_Hω(G₂，C₂) Fuzzy set weighted Hamming distance d between color image perception of CMF image graph and color scheme_Hω(G₂，M₂) Fuzzy set weighted hamming distance d between color image perception of CMF image and product color matching_Hω(G₂，P₂) Extracting fuzzy set weighted Hamming distance d between color blocks and color image perception of product color matching_Hω(C₂，P₂) Fuzzy set weighted hamming distance d between color scheme and color perception of product color matching_Hω(M₂，P₂) According to formula (I)

d_Hω(F，S)＝ω₁|Fx₁-Sx₁|+ω₂|Fx₂-Sx₂|+…+ω_i|Fx_i-Sx_iAnd | is calculated to obtain:

d_Hω(G₂,C₂)＝0.1×|0.525-0.595|+0.3×|0.5875-0.525|+0.4×|0.6-0.65|+0.2×|0.65-0.6|＝0.0675

d_Hω(G₂,M₂)＝0.1×|0.0.525-0.5875|+0.3×|0.5875-0.5625|+0.4×|0.6-0.535|+0.3×|0.65-0.575|＝0.05475

d_Hω(G₂,P₂)＝0.1×|0.525-0.65|+0.3×|0.5875-0.54|+0.4×|0.6-0.5125|+0.2×|0.65-0.575|＝0.07675

d_Hω(C₂,P₂)＝0.1×|0.595-0.65|+0.3×|0.525-0.54|+0.4×|0.5375-0.5125|+0.2×|0.6-0.575|＝0.016

d_Hω(M₂,P₂)＝0.1×|0.5875-0.65|+0.3×|0.5625-0.54|+0.4×|0.535-0.5125|+0.2×|0.575-0.575|＝0.004

the distances of the image perception fuzzy sets of other samples can be obtained by the same method, the fuzzy distances of the image perception evaluation information sets among six samples are listed in table 2, the trend of the fuzzy distances of the image perception evaluation information sets among the samples can be visually seen through a broken line diagram 6, and as shown in fig. 7, the average fuzzy distance of the image perception evaluation information sets among the samples is calculated through the fuzzy distances. When the fuzzy distance of the image perception information set is larger, the image perception difference between the image perception information set and the image perception information set is larger as the sample No. 5 in the graph 5, the CMF image graph can be replaced to meet the design requirement, and the color matching graph can be generated at the later stage.

And the color matching schematic diagram is modified through user evaluation, so that the output scheme can be further ensured to meet the requirements of users, and the color matching efficiency of the product is improved.

TABLE 2 fuzzy distance of information sets between samples

Fourthly, taking the CMF emotional design of the personal electric vehicle as an example, the design location is as follows: neutral and strong dynamic. Assuming that the user selected sample number 4 in the six CMF image sources of FIG. 4, the designer may complete the associated color scheme according to the color scheme, as shown in FIG. 7; because the user selects the CMF image of the self tendency in the image source according to the self sensibility requirement, the 'imputation' of the CMF comprehensive sensibility requirement is realized. And the designer completes the product color scheme according to the color scheme corresponding to the selected CMF image. Therefore, the multi-dimensional perception information of the color of the user is clearly mapped to the product scheme. When designing subsequent new products, the similar color matching areas can be directly selected from the CMF image gallery.

Claims (6)

1. The emotional design method of the product CMF under the perceptual information 'grafting-mapping' is characterized by comprising the following steps:

step 1, a designer determines the NP category of a product to be designed, and i product style perception description keywords are established according to the NP category of the product to be designed;

step 2, a designer makes n CMF image maps according to the product style perception description keywords established in the step 1, and the N CMF image maps are placed in a set G, wherein G is { G ═ G }₁、G₂，…，G_n}；

Step 3, the designer extracts the color blocks with the same number as the color matching number of the product to be designed and the colors corresponding to the color blocks from each CMF image map in the step 2, a plurality of color blocks extracted from each CMF image map form a color block combination, namely n color block combinations are extracted, the color block combinations are placed in a set C, and C is { C ═ C₁、C₂，…，C_n}；

And 4, according to the color block combinations extracted in the step 3, a designer respectively determines theme colors, decoration colors and fixed colors in each color block combination according to personal experience, adjusts the area relationship of color matching combinations, makes a color matching schematic diagram and puts the color matching schematic diagram in a set M, wherein M is { M ═ M {₁、M₂，…，M_mM represents the number of color matching diagrams in the set M, and M is equal to n;

step 5, the designer selects n existing products OP with the same category as the NP of the product to be designed, completes the color scheme of the product OP through the color matching schematic diagram, and puts the products into a set P, wherein P is { P ═ P { (P) }₁、P₂，…，P_n}，P₁-P_nProduct color schemes for 1 st to nth products OP, respectively;

step 6, carrying out a style perception evaluation experiment on each CMF image, color block combination, color matching schematic diagram and product color scheme of each product OP in a user scoring mode to obtain a corresponding style perception value, determining correlation among the CMF image, the color block combination, the color matching schematic diagram and the product color scheme of each product OP by weighting Minkowski distance, if the distance is greater than a determined numerical value, the correlation is small, the CMF image and the color matching schematic diagram with small correlation are manufactured by replacing according to the steps 2-4, if the distance is less than the determined numerical value, the correlation is high, and the CMF image and the color matching schematic diagram with high correlation form an image source;

step 7, selecting the CMF image or color matching schematic diagram of the tendency of the user in the CMF image or color matching schematic diagram forming image source according to the newly designed product characteristics and the perceptual requirements of the tendency of the user;

step 8, the designer completes the product color scheme of the new product NP according to the color matching schematic diagram or the CMF image diagram obtained in the step 7;

and 9, if the product color scheme of the new product meets the requirements of the user, the new product is used as a selection scheme, and if the product color scheme of the new product does not meet the requirements of the user, the method returns to the step 7 to start reselection.

2. The method of claim 1, wherein the CMF ideogram in step 2 is consistent with the color style of the product style perception description keyword in step 1.

3. The method according to claim 1, wherein in step 6, a style perception evaluation experiment is performed on each CMF image, color block combination, color matching schematic diagram and product color scheme of each product OP in a form of user scoring to obtain a corresponding style perception value, specifically:

selecting L potential users, respectively carrying out style perception evaluation scoring on each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP, and then respectively averaging the scores of the L potential users on each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP to obtain the style perception value of each CMF image, color block combination, color matching schematic diagram and each product style perception description keyword corresponding to the product color scheme of each product OP.

4. The method of claim 3, wherein the L potential users comprise H groups of people, respectively H, of the CMF emotional design method under the condition of perceptual information "imputation-mapping₁-H_hEach group of people has at least one person, and the weight of each group of people is w₁、w₂、w₃、、、w_h，w₁+w₂+w₃+、、、+w_hRespectively calculating the average value of the style perception evaluation scores of each product style perception description keyword corresponding to each CMF image map or color block combination or color matching schematic diagram or product color scheme of each product OP by each group, and respectively recording as: l is₁-L_hThe method for calculating the style perception value of each product style perception description keyword corresponding to each CMF image map or color block combination or color matching schematic diagram or product color scheme of each product OP comprises the following steps:

S＝w₁*L₁+w₂*L₂+w₃*L₃+、、、+w_h*L_h

and S is a style perception value of any product style perception description keyword corresponding to the CMF image map or color block combination or color matching schematic diagram or the product color scheme of each product OP.

5. The perceptual design method of product CMF under perceptual information "imputation-mapping" as defined in claim 1, wherein said correlation between user CMF ideogram, color block combination, color scheme and product color scheme of each product OP is established by weighting minkowski distances:

computing a fuzzy set weighted hamming distance d between color image perceptions of CMF image and patch combinations_Hω(G, C), fuzzy set weighted Hamming distance d between color image perceptions of CMF image graph and color scheme_HωFuzzy set weighted Hamming distance between color image perceptions of color schemes of (G, M), CMF image maps, and productsFrom d_Hω(G, P), color block combinations, and fuzzy set weighted Hamming distance d between color image perceptions of color schemes of products_Hω(C, P), color scheme and fuzzy set weighted Hamming distance d between color image perceptions of a color scheme of a product_Hω(M，P)；

The designer weights the hamming distance d based on the blur set between the calculated CMF image and the color image perception of the color scheme of the product_Hω(G, P) determining a distance, and calculating d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(M, P) are compared with the distances, respectively, if d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_HωIf the distance of (M, P) is less than the determined distance, the relevance is high, the CMF image map with high relevance and the color matching schematic map form an image map source, and if any one of the CMF image map and the color matching schematic map is greater than the determined distance, the corresponding G, C, M or P is adjusted;

or the designer weights the hamming distance d according to the calculated fuzzy set between the CMF image and the color image perception of the color scheme of the product_Hω(G, P) determining a range of distances, and calculating d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_Hω(M, P) are compared with the distance ranges, respectively, if d_Hω(G，C)、d_Hω(G，M)、d_Hω(C，P)、d_HωAnd (M, P) when the distance falls within the distance range, the correlation is high, the CMF image map and the color matching schematic map with high correlation form an image source, and if any one does not fall within the distance range, the corresponding G, C, M or P is adjusted.

6. The method of claim 5, wherein the fuzzy set weighted hamming distance between color image perceptions is calculated by the method of emotional design of product CMF under perceptual information "imput-mapping":

d_Hω(F，S)＝ω₁|Fx₁-Sx₁|+ω₂|Fx₂-Sx₂|+…+ω_i|Fx_i-Sx_i|

wherein x is₁-x_iRespectively representing 1 st to ith style perception description keywords, F representing a CMF image picture or a color block combination or color matching schematic diagram, S representing a color block combination or color matching schematic diagram or a color scheme of a product, and Fx₁-Fx_iRespectively representing the style perception values Sx of the 1 st to the ith style perception description keywords respectively corresponding to the CMF image diagram or color block combination or color matching diagram₁-Sx_iRespectively representing the style perception values omega of 1 st to ith style perception description keywords corresponding to the color schemes of color block combinations or color matching schematics or products₁、ω₂、…、ω_iWeights, ω, describing keywords for the 1 st to ith style perceptions₁+ω₂+…+ω_i＝1。

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