CN111383068A - Method and system for matching style of clothing style - Google Patents
Method and system for matching style of clothing style Download PDFInfo
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- CN111383068A CN111383068A CN201811628359.8A CN201811628359A CN111383068A CN 111383068 A CN111383068 A CN 111383068A CN 201811628359 A CN201811628359 A CN 201811628359A CN 111383068 A CN111383068 A CN 111383068A
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- 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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- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention relates to a method and a system for matching style and style of clothes, wherein the method comprises the following steps: s1, storing the structural attributes of the clothes and the fabric type information in a file library in advance; s2, classifying the clothing categories, and dividing the categories into different structural attributes; s3, labeling style attributes for each structure attribute, and calculating the style diagnosis result of the garment according to the style attributes of the structure attributes and the weights; s4, calling a dressing style diagnosis result of the customer; s5, pushing out the costume with the style of the customer in the shop order to form a wearable library; s6, judging whether the dress suitable for the customer exists in the dress applying storeroom; s7, the customer selects the clothes in the wearable library; and S8, the customer performs the clothing order service. The invention matches the style attribute characteristics of the clothing with the appearance style characteristics of the customer, calculates the optimal matching range between the person according with the dressing aesthetics and the style of the clothing, obtains the clothing very suitable for the customer, and better meets the requirements.
Description
Technical Field
The invention relates to the technical field of matching of clothing style and style with customers, in particular to a method and a system for matching clothing style and style.
Background
The method for recommending the clothes to the customer by the terminal store under the line of each brand of clothes comprises the following two methods, 1, shopping guide directly recommends the clothes to the customer, mainly pushing commodities, or recommending according to the demand and preference of the customer, and rarely recommending the clothes in a targeted manner after finding the proper color rule of the customer from the professional perspective in combination with the style and characteristics of the customer; 2. the method comprises the following steps that auxiliary recommendation is given to customers by utilizing certain equipment with intelligent matching software or APP, such as magic mirrors, artificial intelligent virtual fitting and the like; 3. customers purchase on online platforms such as electronic malls, websites and the like; algorithms for garment diagnosis and customer style analysis are usually provided in intelligent collocation software or APP, some analysis is performed for customers, and online sales systems such as electronic malls generally only identify certain characteristics of garments, so that customers can search conveniently.
The existing known matching dress APP or fitting system has two methods for classifying clothes: one is that each piece of clothing is manually marked with a plurality of key terms according to the characteristics of the clothing in the background; another method is that through IA technology, a training computer automatically identifies certain characteristics of colors, styles and components of the clothes, and then marks the clothes with certain keywords; the former method is too dependent on professionals, and the workload of early manual diagnosis and marking is huge; the AI intelligent identification method has low accuracy, and can identify the outline of the garment accurately, such as the body type, but the extraction capability of the internal structure of the garment is weak, such as the collar type and the sleeve type, and the identification accuracy is low, even the identification cannot be realized. In general, there are other stylistic diagnostic and fitting systems known: 1. the accuracy is not high, the dimension of 2 and diagnosis is also relatively extensive, usually only one large sense direction is given, the expression is also relatively abstract, or the expression is a perceptual adjective, such as: elegance, calmness, fashion, individuality, loveliness and the like, or the situation classification words such as commute, banquet, work and the like, generally speaking, the recognition result is not accurate, is not specific and is not highly instructive; 3. the keywords are mainly used for finding the clothes which the customer wants according to the representative clothes feature entries marked on the clothes when the customer searches the clothes, the clothes recommended by the method are mainly based on the preference of the customer, but the preference is not necessarily adaptive, and the clothes wearing effect of the matching method is not more professional, so that the requirement cannot be met.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method and a system for matching the style and style of clothes.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for matching the style and style of clothes comprises the following steps:
s1, storing the structural attributes of the clothes and the fabric type information in a file library in advance;
s2, classifying the clothing categories, and dividing the categories into different structural attributes;
s3, labeling style attributes for each structure attribute, and calculating the style diagnosis result of the garment according to the style attributes of the structure attributes and the weights;
s4, calling a dressing style diagnosis result of the customer;
s5, pushing out the clothes with the customer style in the shop order to form a wearable library according to the diagnosis result;
s6, judging whether the dress suitable for the customer exists in the dress applying storeroom; if yes, go to S7; if not, go to S8;
s7, the customer selects and tries on the clothes in the wearable library, and purchases a bill;
and S8, entering a customization interface, and performing the clothing customization service by the customer.
The further technical scheme is as follows: in the step S1, the structural attributes of the garment comprise a collar type, a shoulder sleeve type, a garment body type, a foot mouth type, a sleeve mouth type, a garment length attribute and a detachment mode; the fabric type comprises surface style and printed patterns.
The further technical scheme is as follows: in S2, the structural attributes include straight in the curve and large, medium, and small senses.
The further technical scheme is as follows: in S3, the customer' S head and face, hairstyle, face, and eyebrow shape are diagnosed to determine the curvature of the eyes, and the size and weight of the customer are calculated based on the height and weight of the customer, thereby generating a diagnosis report of physical characteristics of the customer.
The further technical scheme is as follows: before S5, the method further includes: and filtering out clothes which are not suitable for the customer according to the clothes-dressing style diagnosis report and the clothes style characteristics of the customer to form a suitable-to-wear library.
The further technical scheme is as follows: the S8 includes: and calling the attribute data of the clothing structure, filtering out clothing parts or fabrics which are not suitable for the customer according to the style diagnosis report of the customer, and selecting the style of the clothing parts or fabrics which the customer wants to replace.
The further technical scheme is as follows: the S8 further includes: and forming a customized order, and sending the order to a production department for making the clothes.
A system for matching clothes styles and styles comprises a storage unit, a classification unit, a marking calculation unit, a calling unit, a pushing unit and a judgment unit;
the storage unit is used for storing the structural attributes of the clothes and the fabric type information in a file library in advance;
the classification unit is used for classifying clothing categories and dividing the clothing categories into different structural attributes;
the marking calculation unit is used for marking the style attributes of the structure attributes and calculating the style diagnosis result of the garment according to the style attributes of the structure attributes and the weights;
the calling unit is used for calling the dressing style diagnosis result of the customer;
the pushing unit is used for pushing out the clothes of the customer style in the shop single product according to the diagnosis result to form a wearable library;
and the judging unit is used for judging whether the clothing suitable for the customer exists in the wearable library.
The further technical scheme is as follows: the structural attributes of the clothes stored in the storage unit comprise a collar type, a shoulder sleeve type, a clothes body type, a foot mouth type, a sleeve mouth type, a clothes length attribute and a detachment mode; the fabric type comprises a surface style and a printed pattern; the structural attributes in the classification unit comprise curve-middle-straight, large, medium and small senses; the marking calculation unit diagnoses the curve tendency of the characteristics of the head and face part, the hair style, the face shape and the eyebrow shape of the customer, calculates the size and the feeling of the customer according to the height and the weight of the customer and obtains a physical feature diagnosis report of the customer.
The further technical scheme is as follows: the system also comprises a calling and filtering unit which is used for calling the attribute data of the clothing structure, filtering out clothing parts or fabrics which are not suitable for customers according to the style diagnosis report of the customers, and selecting the clothing part style or fabric which the customers want to replace.
Compared with the prior art, the invention has the beneficial effects that: by matching the style attribute characteristics of the garment with the appearance style characteristics of a customer, the optimal matching range between the person according with the dressing aesthetics and the style of the garment is calculated, the garment very suitable for the customer is obtained, and the requirements are better met.
The invention is further described below with reference to the accompanying drawings and specific embodiments.
Drawings
FIG. 1 is a flow chart of a method for matching a style of a garment according to the present invention;
fig. 2 is a block diagram of a system for matching the style of a garment according to the present invention.
10 into the unit 20
30 annotation calculation unit 40 retrieval unit
50 push-out unit 60 judging unit
70 calling filter unit
Detailed Description
In order to more fully understand the technical content of the present invention, the technical solution of the present invention will be further described and illustrated with reference to the following specific embodiments, but not limited thereto.
As shown in fig. 1 to fig. 2, the present invention discloses a method for matching the style of a garment style, as shown in fig. 1, comprising the following steps:
s1, storing the structural attributes of the clothes and the fabric type information in a file library in advance;
s2, classifying the clothing categories, and dividing the categories into different structural attributes;
s3, labeling style attributes for each structure attribute, and calculating the style diagnosis result of the garment according to the style attributes of the structure attributes and the weights;
s4, calling a dressing style diagnosis result of the customer;
s5, pushing out the clothes with the customer style in the shop order to form a wearable library according to the diagnosis result;
s6, judging whether the dress suitable for the customer exists in the dress applying storeroom; if yes, go to S7; if not, go to S8;
s7, the customer selects and tries on the clothes in the wearable library, and purchases a bill;
and S8, entering a customization interface, and performing the clothing customization service by the customer.
Wherein, in S1, the structural attributes of the garment include collar type, shoulder sleeve type, body type, foot shape, sleeve shape, length attribute, and detachment mode; the fabric type comprises a surface style and a printed pattern; when all fabrics are put in storage, a material group worker firstly records various attributes such as surface style attribute, printed pattern type, gram weight and the like of the fabrics in a PLM control center, and a system archives the attribute contents; the surface style attributes of the fabric recorded in the PLM control center when the fabric is put in storage are as follows: jacquard weave, burnt flower, lace, embroidery, etc., and the printing is classified into: the printing ink has two colors of net color and variegated color, wherein the net color refers to a pattern but only one color, and the variegated color printing refers to a printing pattern consisting of two or more colors; then according to the pattern of the pattern, the patterns are divided into geometric type, flower type, mixed type, ideographic type and the like; the surface style and the printed patterns of the fabric have influence on the style and style diagnosis result of the clothes, and certain weight is taken into account during diagnosis.
Wherein, in S2, the structural attributes include the straight in the curve and the large, medium and small senses; according to the aesthetic logic of the dress, the two dimensions which most influence the dress effect in the style and style of the dress are curved and straight and the sense of magnitude, wherein the curved and straight means that the dress is mainly curved or guided by straight lines, the curved dress can give people a sense of elegant, soft, elegant and gentle feeling, and the straight can give people a sense of direct, sharp and rational feeling; the sense of size is the sense of volume in vision, and the sense of large amount can bring the sense of exaggeration and atmosphere, and the sense of small amount can bring the sense of delicacy and flexibility; the style characteristics of the clothes are different, and the clothes are suitable for different customers, so the style calculation of the clothes is carried out around the dimensions of curve, straight and size, the obtained diagnosis result is also presented by the results of the two dimensions, and the matching with the customers is also carried out through the correspondence of the two dimensions.
Further, the clothes are classified into one of the superclasses of tops, trousers, short dress, one-piece dress and top-bottom one-piece dress; when the style of each garment is developed, a file is built for the garment in a PLM control center, the garment is classified into one of 5 super classes of top coats, trousers, short skirts, one-piece dress and top and bottom one-piece dress, the structural attribute characteristics of the garment are recorded according to different structural attributes divided by the super classes, the structural attributes of each super class are different, for example, the structural attributes of the super class top coats comprise a garment body type, a shoulder sleeve type, a foot mouth type, a collar type, a cuff type and the like, and different classes such as the shoulder sleeve type are arranged below each structural attribute, and the super classes can be divided into the following classes according to the structural principle and the appearance difference: papaw sleeves, small cap sleeves, batwing sleeves, rotator cuff, raglan sleeves, D-sleeves, and the like; each piece of clothing can be recorded with corresponding options according to the structural characteristics, and the PLM control center records and stores the options to form clothing files; the classification under each structure attribute can respectively convey different style characteristics, thereby influencing the style characteristics of the clothes, and participating in calculation with different weights when the clothes style is diagnosed.
Wherein, the clothes are divided into a curved middle part, a straight middle part and a large, medium and small sense; fabric attributes there are two attributes used in garment style diagnostic calculations: the two fabric attributes influence the sensory judgment of people according to the presented characteristics, and bring soft and gentle impression to people or give sharp, direct and hard impression to people, so that the surface style and the printed patterns of the fabric are divided into curved, medium and straight parts at the background of a PLM control center; such as: the flower type and the wave point type in the printed pattern belong to a curve, and the geometric type and the stripe type are straight; the mixed type, the animal pattern and the freehand type are all curved and straight in the middle; the structural attributes of various super-class clothes are divided into curved, medium and straight according to appearance characteristics, for example, in the structural attribute shoulder sleeve type of the super-class top garment, bubble sleeves and lace sleeves belong to curved, ragged sleeves, D-shaped sleeves, ragged sleeves and the like are straight, and sleeveless sleeves, small-covered sleeves, conventional sleeves and the like are curved and straight in the middle; the structure attributes of 5 superclasses of the upper garment, the trousers, the short skirt, the one-piece dress and the upper and lower one-piece dress are different, and the classification options in each structure attribute are also different, so that the curve, the middle and the straight are divided one by one.
Further, calculating the surface style of the fabric, the printed patterns and the classified structural attributes of the clothes to obtain the overall curve and straight diagnosis result of each piece of clothes; the calculation method of each super class of the curve dimension and the straight dimension is different; the basic logic is to extract the structural attribute data of each super category recorded in the PLM processing center, set different weights for calculation according to the influence of each structural attribute on the clothes curve and straight tendency, if the proportion of the curve calculated for a certain type of clothes is larger, the clothes is judged to be curved, and if the proportion of the straight curve is larger, the clothes is judged to be straight; if the curve and straight values are the same, the judgment is medium, and the curve and straight values indicate that the piece of clothing has no obvious curve tendency and no obvious straight tendency; as with the superscalar, the curve and the straight of the garment must have the following data for structural attributes: the garment body, the collar, the foot opening structure, the shoulder sleeve and the cuff are respectively classified into one of curved, middle and straight; then, the clothes are calculated according to different weights, such as 50% of clothes body shape, 15% of collar shape and the like, if the fabric used by the clothes has data of printed patterns and surface styles, 10% of weight is added for calculation, namely, if the printed patterns of the clothes are geometric, the geometric patterns are classified to be straight, so that 10% of the straight specific gravity is added during the clothes curve calculation, and the final curve judgment result of the clothes can be obtained.
Extracting relevant data in the structural attributes of the super-class clothes and classifying the relevant data into a large sense, a medium sense and a small sense; the data extracted from different super categories are different, such as the length and the body shape of the clothes extracted from the jacket, the length classification extracted from the trousers, the leg shape, the length classification extracted from the trousers, the skirt shape and the like; secondly, different super classes have different division standards, for example, the super class top garment length classification is divided into 7 grades of super short, medium and long, longer, long and super long; each gear is divided according to the back-middle-length size of the upper garment, such as the ultra-short garment length range 36-44cm, the short garment length range 45-52cm, the middle garment length range 53-66cm, the middle garment length range 67-82cm, the longer garment length range 83-100cm, the long garment length range 101-120cm and the ultra-long garment length more than 121 cm; therefore, the ultra-short and short money are classified as small sense, the medium and long money are classified as medium sense, and the longer, long and ultra-long money are classified as large sense; in addition, the length classification of the super trousers, the short dress, the one-piece dress and the upper and lower one-piece dresses has respective classification standard and method; finally, the final size sense result of the garment obtained by combining the body type data in the structural attributes of the various super types is one of large, medium and small senses; if the sense of measurement of super trousers is calculated, the length classification has: shorts, middle pants, seventh pants, eighth pants, ninth pants, tenth pants and trousers; the trouser leg types are divided into western style pants, tight leggings, small straight leggings, common leggings, straight leggings, trumpet pants, leggings, skirts, briefs, sport pants, body-building pants and harrens pants; the combined pant length classification and the sensation of the final pant of the leg type are calculated as follows:
wherein, in the step S3, the diagnosis of the curve and straight tendency is performed on the characteristics of the head and face, the hair style, the face shape and the eyebrow shape of the customer, and the size and the feeling of the customer are calculated according to the height and the weight of the customer, so as to obtain a diagnosis report of the physical characteristics of the customer; judging the human body style, namely finishing the human body style diagnosis decorating software, and directly extracting style diagnosis data from the software, wherein the extracted data comprises diagnosis results of the human body, such as the curve, the straight degree and the size; the human body style diagnosis is a part of functions in the decoration style diagnosis software, and the implementation scheme is that a shop salesperson uses a mobile terminal to decorate a decoration APP, answers 20 questions and answers in the decoration APP by observing physical and appearance characteristics of a customer and with the help of a tool, and selects correct answers; the 20 questions about the judgment of the shape of the face, the hairstyle and the eyebrow of the customer shape and the body style, the measurement of the height and the weight and the like are answered, the decorating software system can automatically calculate the diagnosis results of the curve and the size of the customer and give a diagnosis report and dressing advice, and the system correspondingly deduces the style and the material of the clothes which are most suitable for the style of the customer through the matching of the clothes attribute and the customer attribute.
Wherein, before S5, the method further comprises: according to the dressing style diagnosis report and the clothing style characteristics of the customer, filtering out clothing unsuitable for the customer to form a dressing library; establishing a function of recommending proper clothes according to the appearance style characteristics of the customer; the balance of vision required by apparel aesthetics, so what the human appearance features are, the matching apparel should also embody those features; therefore, when the clothes are matched with the style of a person, the clothes recommended by the person with the style diagnosed as the curved clothes are followed, and the clothes recommended by the person with the style diagnosed as the straight clothes are followed; and the children with large sense of measurement recommend the clothes with large sense of measurement.
Furthermore, the scene of ready-made clothes sale is that the clothes styles according with the styles of the customers are pushed out according to the style diagnosis results of the customers, and the customers select the clothes styles which are suitable for the customers to like and directly try on to purchase.
Wherein the S8 includes: calling the attribute data of the clothing structure, filtering out clothing parts or fabrics which are not suitable for customers according to style diagnosis reports of the customers, and selecting the clothing part style or fabric which the customers want to replace; if the customer orders the business, the customer can select a ready-made clothes large-format style first, make some personalized customization amendments on the basis of this large-format style, for example, the customer wants to order a suit coat, the PLM processing center will filter the format that is not suitable for the customer according to her style diagnosis result, put out to be suitable for her, the customer has selected a format here, but want to change a collar, at this time, the PLM processing center will carry on a round of matching calculation with customer to the curve and size sense of the collar, filter out the non-conformity; if the customer wants to change the fabric for customization, the PLM processing center can also carry out matching calculation on the fabric surface style and the style data of the printed patterns and the customer, and only suitable data are pushed out for the customer to select; ensuring that the customer purchases a garment that is the best choice for conforming to her own stylistic characteristics, and for conforming to the aesthetics of the garment.
Wherein, the step S8 is followed by the step: and forming a customized order, and sending the order to a production department for making the clothes.
As shown in fig. 2, the present invention further discloses a system for matching the style and style of a garment, which comprises a storage unit 10, a classification unit 20, a label calculation unit 30, a retrieval unit 40, a pushing unit 50, and a determination unit 60;
the storage unit 10 is used for storing the structural attributes of the garment and the fabric type information in a file library in advance;
the classification unit 20 is configured to classify clothing categories and classify the clothing categories into different structural attributes;
the marking calculation unit 30 is configured to mark style attributes for the structural attributes, and calculate style diagnosis results of the garment according to the style attributes of the structural attributes and the weights;
the calling unit 40 is used for calling the dressing style diagnosis result of the customer;
the pushing unit 50 is used for pushing out the costume with the customer style in the shop single product according to the diagnosis result to form a wearable library;
the judging unit 60 is used for judging whether the dress suitable for the customer exists in the wearable library.
The structural attributes of the clothes stored in the storage unit 10 comprise a collar type, a shoulder sleeve type, a clothes body type, a foot mouth type, a sleeve mouth type, a clothes length attribute and a detachment mode; the fabric type comprises a surface style and a printed pattern; the structural attributes in the classification unit 20 include the straight in the curve and the large, medium and small senses; the label calculation unit 30 obtains a physical feature diagnosis report of the customer by diagnosing the features of the head and face, the hairstyle, the face shape and the eyebrow shape of the customer and calculating the size and feel of the customer according to the height and the weight of the customer.
The system also comprises a calling and filtering unit 70 for calling the clothing structure attribute data, filtering out clothing parts or fabrics which are not suitable for the customer according to the style diagnosis report of the customer, and selecting the clothing part style or fabric which the customer wants to replace.
The invention relates to a garment with the characteristics of facial features of five sense organs, height, weight, thinness and the like, which is suitable for different garments.
1. The attributes of the fabric are accurately subdivided and recorded before each fabric is put in storage through a PLM processing center, wherein the attributes comprise surface style attributes, gram weight, drapability, air permeability, pattern type and the like, a plurality of classification options are arranged below each attribute, each option represents different fabric characteristics, and the classification options of the surface style comprise the following items: yarn dyed, jacquard weave, burnt flower, fretwork, knurling, embroidery, sequins, gilt, scald silver etc. the categorised option of texture pattern has: flower type patterns, geometric patterns, mixed patterns, animal pattern patterns, sketch patterns, wave point patterns and the like, and when the fabrics are put in storage, relevant options are selected according to the characteristics of each fabric to be recorded and filed in the PLM processing center; the three fabric properties of the surface style, drapability and pattern type can influence the style of the garment, and the PLM processing center in the invention can calculate the data of the properties.
2. The invention has the fine classification and the system management of the clothing categories and the structural attributes, which are not seen in the prior art, accurately records the category classification and the structural attributes of each part of the clothing when each piece of clothing is developed through a PLM processing center, divides the clothing into 5 super categories of top-dress, trousers, half-dress, one-piece dress and top-bottom one-piece dress, and divides each super category into a large category under the super category, for example, the super category top-dress is divided under the super category: suit coat, fit coat, loose coat, woven shirt, vest, etc. each of which uses a letter as code. Different structural attributes are input according to different requirements of the super-class, and the structural attributes to be input of the upper garment class comprise 24 attributes such as a collar type, a shoulder sleeve type, a garment body type, a foot opening structure, a garment length classification and a sleeve length classification. The structural attributes of the super trousers to be recorded include 17 attributes such as trouser leg shape, trouser length classification, leg opening structure and the like. Different classification options are arranged below the structural attribute of each super class, for example, the clothing body attribute of the super class top-garment comprises the following classification options: x-type, A-type, H-type, small H-type waist, T-type, tower-type, close-fitting type, O-type, etc.; when each piece of clothes is filed in the PLM processing center, corresponding classification options are selected to be recorded according to the structural characteristics of the clothes, and the system stores the data for data analysis and data calculation.
3. The invention calculates the fabric attribute characteristics and the structural attribute characteristics of various clothing types with different weights to obtain the style and style characteristics of clothing.
4. The invention calculates according to scientific aesthetic logic, matches the style attribute characteristics of the clothes with the human appearance style characteristics, and calculates to obtain the optimal matching range between the human body and the style of the clothes according with the dress aesthetics.
The technical contents of the present invention are further illustrated by the examples only for the convenience of the reader, but the embodiments of the present invention are not limited thereto, and any technical extension or re-creation based on the present invention is protected by the present invention. The protection scope of the invention is subject to the claims.
Claims (10)
1. A method for matching the style of clothes is characterized by comprising the following steps:
s1, storing the structural attributes of the clothes and the fabric type information in a file library in advance;
s2, classifying the clothing categories, and dividing the categories into different structural attributes;
s3, labeling style attributes for each structure attribute, and calculating the style diagnosis result of the garment according to the style attributes of the structure attributes and the weights;
s4, calling a dressing style diagnosis result of the customer;
s5, pushing out the clothes with the customer style in the shop order to form a wearable library according to the diagnosis result;
s6, judging whether the dress suitable for the customer exists in the dress applying storeroom; if yes, go to S7; if not, go to S8;
s7, the customer selects and tries on the clothes in the wearable library, and purchases a bill;
and S8, entering a customization interface, and performing the clothing customization service by the customer.
2. The method according to claim 1, wherein in S1, the structural attributes of the garment include collar type, rotator cuff type, body type, foot cuff type, sleeve cuff type, length attribute, and detachment mode; the fabric type comprises surface style and printed patterns.
3. The method for matching clothing style and style of claim 1, wherein in the step S2, the structural attributes comprise curve-middle-straight and large, medium and small sense.
4. The method for matching a style and a style of a garment according to claim 1, wherein in step S3, a diagnosis report of the physical characteristics of the customer is obtained by diagnosing the features of the head and face, the hairstyle, the face shape, and the eyebrow shape of the customer, and calculating the size and feel of the customer according to the height and weight of the customer.
5. The method for matching clothing style and style according to claim 1, wherein before S5, further comprising: and filtering out clothes which are not suitable for the customer according to the clothes-dressing style diagnosis report and the clothes style characteristics of the customer to form a suitable-to-wear library.
6. The method for matching clothing style and style of claim 1, wherein the step S8 comprises: and calling the attribute data of the clothing structure, filtering out clothing parts or fabrics which are not suitable for the customer according to the style diagnosis report of the customer, and selecting the style of the clothing parts or fabrics which the customer wants to replace.
7. The method for matching clothing style and style according to claim 6, wherein the step S8 is further followed by: and forming a customized order, and sending the order to a production department for making the clothes.
8. A system for matching the style and style of clothes is characterized by comprising a storage unit, a classification unit, a label calculation unit, a calling unit, a pushing unit and a judgment unit;
the storage unit is used for storing the structural attributes of the clothes and the fabric type information in a file library in advance;
the classification unit is used for classifying clothing categories and dividing the clothing categories into different structural attributes;
the marking calculation unit is used for marking the style attributes of the structure attributes and calculating the style diagnosis result of the garment according to the style attributes of the structure attributes and the weights;
the calling unit is used for calling the dressing style diagnosis result of the customer;
the pushing unit is used for pushing out the clothes of the customer style in the shop single product according to the diagnosis result to form a wearable library;
and the judging unit is used for judging whether the clothing suitable for the customer exists in the wearable library.
9. The system for matching styles and styles of garments according to claim 8, wherein the structural attributes of the garments stored in the unit include collar type, rotator cuff type, body type, foot cuff type, sleeve cuff type, length attribute, and detachment style; the fabric type comprises a surface style and a printed pattern; the structural attributes in the classification unit comprise curve-middle-straight, large, medium and small senses; the marking calculation unit diagnoses the curve tendency of the characteristics of the head and face part, the hair style, the face shape and the eyebrow shape of the customer, calculates the size and the feeling of the customer according to the height and the weight of the customer and obtains a physical feature diagnosis report of the customer.
10. The system for matching clothing style and style of claim 8, further comprising a retrieving and filtering unit for retrieving the clothing structure attribute data, filtering out clothing parts or fabrics that are not suitable for the customer according to the style diagnosis report of the customer, and selecting the clothing part style or fabric that the customer wants to replace.
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| CN106779977A (en) * | 2017-01-16 | 2017-05-31 | 深圳市娜尔思时装有限公司 | A kind of garment coordination method and its system based on intelligent mobile terminal |
| CN107230134A (en) * | 2017-05-27 | 2017-10-03 | 郑州云海信息技术有限公司 | A kind of virtual costume customized management method and system |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106779977A (en) * | 2017-01-16 | 2017-05-31 | 深圳市娜尔思时装有限公司 | A kind of garment coordination method and its system based on intelligent mobile terminal |
| CN107230134A (en) * | 2017-05-27 | 2017-10-03 | 郑州云海信息技术有限公司 | A kind of virtual costume customized management method and system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112685579A (en) * | 2021-01-22 | 2021-04-20 | 广西安怡臣信息技术有限公司 | Hair style and dressing matching system based on big data |
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