CN106651501A - Clothing matching method and system based on human body feature information - Google Patents
Clothing matching method and system based on human body feature information Download PDFInfo
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- CN106651501A CN106651501A CN201610893556.7A CN201610893556A CN106651501A CN 106651501 A CN106651501 A CN 106651501A CN 201610893556 A CN201610893556 A CN 201610893556A CN 106651501 A CN106651501 A CN 106651501A
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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Abstract
The invention provides a clothing matching method based on human body feature information. The method comprises the following steps: collecting a matching scheme for human body feature information and clothing single item information and storing the matching scheme; receiving input consumer body feature information and consumer demand parameters; calculating similarity between the consumer body feature information and the consumer demand parameters and corresponding item data of the matching scheme, and obtaining matching degrees according to preset weight proportion; and displaying clothing matching results in sequence according to the matching degrees. Data modeling is carried out by collecting the matching scheme for human body feature information and clothing single item information; matching degrees between the consumer body feature information and the consumer demand parameters and corresponding item data of the matching scheme are calculated; and clothing single items can be subjected to virtual modeling and simulation realest with the consumer body feature information being combined according to the matching results, thereby providing a clothing matching shopping guide for consumers.
Description
Technical field
The present invention relates to computer graphics techniques field, more particularly to a kind of clothing matching based on human body physical sign information
Method and system.
Background technology
It is product of the computer graphics in combination with art based on the computer animation of virtual reality, three-dimensional computations are motor-driven
Virtual portrait animation in picture is one of important component part, and in various 3D emulation important angle is play
Color.
The virtual costume simulation of animated character is a difficulties in research, and it is the same that the profile of clothes is not as rigid body
Immobilize, its some characteristic strip is come the difficulty on simulating, the such as shape complicated and changeable and high deformation of clothes.Clothes are in itself
Formed by multi-panel suture, need the constraint for meeting suture, the distinctive structural constraint of clothes, such as fold also to need between dough sheet
To be showed, additionally, human motion can thoroughly change the visual effect of clothes, wear collocation and wear the impact of level etc.
Also the validity to virtual costume brings very big challenge.
The modeling method of virtual costume is broadly divided into three kinds：Geometric method, Physical and mixing method, are currently based on building for physics
Mould method occupies leading position, has two problem demanding prompt solutions in virtual costume modeling, that is, improve virtual validity and fortune
Calculate speed.
The content of the invention
It is an object of the present invention to propose that one kind can automatically recommend to meet consumer according to consumer's human body physical sign information
The clothing matching of demand, the existing Dummy modeling validity of solution is not high, the slow problem of arithmetic speed.
To achieve these goals, the technical solution adopted in the present invention is：
A kind of clothing matching method based on human body physical sign information, comprises the steps：
The matching scheme of collection human body physical sign information and clothes list product information is simultaneously stored；
The be input into consumer's sign information of reception and consumer demand parameter；
Calculate the similarity between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme
Value, and obtain matching degree according to default weight proportion；
Clothing matching result is sequentially shown according to the size of matching degree.
Wherein, the described clothing matching method based on human body physical sign information,
Whether the matching scheme for also including judging gathered human body physical sign information and clothes list product information is solarization list match party
Case；
It is to shine single matching scheme, calculates consumer's sign information, consumer demand parameter each corresponding with the single matching scheme of solarization
Similarity value between item data, and obtain strong matching according to default weight proportion；
It is non-to shine single matching scheme, calculate consumer's sign information, consumer demand parameter each right with the single matching scheme of non-solarization
The Similarity value between item data is answered, and weak matching is obtained according to default weight proportion；
Clothing matching result is sequentially shown according to the category classification of strong matching and weak matching.
Wherein, the described clothing matching method based on human body physical sign information, the calculating Similarity value includes：
The difference between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme is calculated, if
The relation between difference range and score value is put, according to the difference for being calculated the score value of each item data is obtained.
Wherein, the described clothing matching method based on human body physical sign information, is also included according to human body physical sign information, clothes
Performance data between single product information or clothes list product stores matching scheme classification.
Wherein, the described clothing matching method based on human body physical sign information, the human body physical sign information includes height, body
Weight, shoulder breadth, bust, waistline, hip circumference, hip enclose, thigh circumference, calf circumference, leg length, brachium, sufficient neck circumference, upper-arm circumference, neck length, neck circumference,
The colour of skin, hair quality, shape of face, skin mechanism, pupil color, Body proportion；The clothes list product information includes：Style, color, season
Section, version type.
Invention additionally discloses a kind of clothing matching system based on human body physical sign information, including：
Acquisition module, for gathering the matching scheme of human body physical sign information and clothes list product information and storing；
Input module, for the be input into consumer's sign information of reception and consumer demand parameter；
Matching module, for calculating consumer's sign information, consumer demand parameter corresponding item data each with matching scheme
Between Similarity value, and according to default weight proportion obtain matching degree；
First display module, for the size according to matching degree clothing matching result is sequentially shown.
Wherein, the described clothing matching system based on human body physical sign information, also including judge module：For judging to be adopted
Whether the matching scheme of collection human body physical sign information and clothes list product information is to shine single matching scheme；
The matching module includes：Strong matching unit, weak matching unit；
The strong matching unit calculates consumer's sign information, consumer demand parameter for being judged as after matching scheme
With shine the Similarity value between each corresponding item data of single matching scheme, and obtain according to default weight proportion and match by force；
The weak matching unit is used to be judged as after the single matching scheme of non-solarization that calculating consumer's sign information, consumer to need
The Similarity value between parameter and each corresponding item data of non-solarization list matching scheme is sought, and weak is obtained according to default weight proportion
Match somebody with somebody；
First display module, for sequentially showing that clothing matching is tied according to the category classification of strong matching and weak matching
Really.
Wherein, the described clothing matching system based on human body physical sign information, the matching module calculates Similarity value bag
Include：Consumer's sign information, the difference between consumer demand parameter and each item data of matching scheme are calculated, difference range is set
Relation between score value, according to the difference for being calculated the score value of each item data is obtained.
Wherein, the described clothing matching system based on human body physical sign information, also including sort module, for according to human body
Performance data between sign information, clothes list product information or clothes list product stores matching scheme classification.
Wherein, the described clothing matching system based on human body physical sign information, the human body physical sign information includes height, body
Weight, shoulder breadth, bust, waistline, hip circumference, hip enclose, thigh circumference, calf circumference, leg length, brachium, sufficient neck circumference, upper-arm circumference, neck length, neck circumference,
The colour of skin, hair quality, shape of face, skin mechanism, pupil color, Body proportion；The clothes list product information includes：Style, color, season
Section, version type.
Beneficial effects of the present invention are：
First, data modeling is carried out by gathering the matching scheme of human body physical sign information and clothes list product, by the body of consumer
Matching degree calculating is carried out between reference breath, consumer demand parameter and each correspondence item data of existing matching scheme so that matching knot
Clothes list product most really with reference to consumer's sign information can be carried out Dummy modeling by fruit, be emulated, and for consumer clothes are provided
Matching shopping guide.
2nd, whether it is to shine single match party by the matching scheme of the gathered human body physical sign information of judgement and clothes list product
Case, by matching degree strong matching and weak matching are divided into.Wherein, it is that existing consumer shines single data to shine single matching scheme, by clothes
Matching result is divided into strong matching and weak matching, wherein the authenticity of strong matched data is higher, it is relatively reliable, it is easier to be consumed
The favor of person.Weak matched data can provide more advisory opinions to consumer, expand consumer apparel's list product selectable range.
3rd, the Similarity value calculates that to consider consumer's sign information, consumer demand parameter and matching scheme each
Difference between item data, each item data of consumer is respectively calculated with each item data of existing matching scheme and is compared,
Its analysis is wide, complete, being capable of omnibearing consideration consumer demand so that the dummy model for matching more conforms to consumption
Person.
4th, matching scheme is divided according to human body physical sign information and the performance data between clothes list product information, clothes list product
Class is stored, and after sorting data into storage, during Similarity Measure is carried out, can carry out Similarity Measure according to classification, is gone
Except the statistics of the little classification of the degree of association, it is to avoid carry out mass data calculating, shorten data calculation time, being capable of quick foundation
The sign information and Requirement Acquisition clothing matching result of consumer.
Description of the drawings
Fig. 1 is method flow diagram of the present invention based on the clothing matching method of human body physical sign information；
Fig. 2 is method flow diagram of the present invention based on the another embodiment of the clothing matching method of human body physical sign information；
Fig. 3 is structured flowchart of the present invention based on the clothing matching system of human body physical sign information.
Specific embodiment
Describe the present invention below with reference to specific embodiment shown in the drawings.But these embodiments are simultaneously
The present invention is not limited, structure that one of ordinary skill in the art is made according to these embodiments, method or functionally
Conversion is all contained in protection scope of the present invention.
The first embodiment of the present invention is related to a kind of clothing matching method based on human body physical sign information, refering to Fig. 1 institutes
Show, it comprises the steps：
S100：The matching scheme of collection human body physical sign information and clothes list product information is simultaneously stored；
Specifically, in this step, the sign information of human body can include height, body weight, shoulder breadth, bust, waistline, stern
Enclose, hip encloses, thigh circumference, calf circumference, sufficient neck circumference, upper-arm circumference, neck circumference, the colour of skin, hair quality, shape of face, skin mechanism, pupil color, body
Body ratio.Clothes list product information can include jacket, lower clothing, accessory, shoes, style, color, season, version type etc..In the enforcement
In mode, the collection of the human body physical sign information and clothes list product information matches scheme can carry out Data Collection by network, such as
Data acquisition, the consumption history record of the existing consumer of collection are carried out by network shopping malls such as Taobao, Jingdone district, and guides history to disappear
Expense person fills in related sign information and carries out the structure of database.The collection of human body physical sign information can also be entered by intelligent scanning terminal
Row data are extracted, and such as are enclosed using body-scanner's acquisition height of user, body weight, shoulder breadth, bust, waistline, hip circumference, hip, thigh
Enclose, calf circumference, leg length, brachium, sufficient neck circumference, upper-arm circumference, neck length, neck circumference, the colour of skin, hair quality, shape of face, skin mechanism, pupil color,
The information such as hair quality, shape of face, pupil color, upper height, lower height, Body proportion or brachium；Foot scanning instrument can scan human body
Foot obtains the information such as pin length, pin width, pin thickness, the toe length of user；Hand scanner can scan human hands and be used
The information such as the pushing of family, hand width, hand thickness, finger length；In addition, can be with the colour of skin depth of identifying user by intelligent scanning terminal
It is shallow.Intelligent scanning terminal can be placed on the flows of the people such as campus doorway, market doorway it is larger where.
The matching scheme for being gathered is stored, for follow-up clothing matching data, services are provided.Described match party
Case can using high in the clouds storage or it is locally stored, high in the clouds storage can be stored on Cloud Server, it is locally stored using hard-disc storage,
The various hardware devices for possessing store function such as floppy disk storage.
S200：The be input into consumer's sign information of reception and consumer demand parameter；
Specifically, consumer can be input into the personal sign letter of consumer by modes such as character, voice, picture or videos
Breath and consumer demand information.The consumer's individual's sign information being input into can be input into according to demand, such as consumer needs
The matching scheme of jacket is solved, then its input shoulder breadth, bust, hair lengths, head circumference, height, Body proportion, hair quality, shape of face, pupil
The sign informations such as color, brachium, upper-arm circumference, upper height, and be input into needed for garment type, color, style, fabric, attend occasion,
The demand parameters such as Price Range；Such as consumer it should be understood that the matching scheme of lower clothing (trousers, skirt etc.), then its input waist
Enclose, hip circumference, thigh circumference, calf circumference, the sign information such as lower height, and be input into demand parameter：Type, color, style, fabric, go out
Seat occasion, Price Range etc..The sign information and demand parameter that consumer is input into provides data for following clothing matchings.
S300：Calculate the phase between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme
Like angle value, and matching degree is obtained according to default weight proportion；
When Similarity value calculating is carried out, by each item data in consumer's sign information, consumer demand parameter
Compare between corresponding item data each with matching scheme.Such as in step s 200, consumer is it should be understood that the matching of jacket
Scheme, carry out Similarity value calculate when need by shoulder breadth, bust, hair lengths, head circumference, height, Body proportion, send out
Each item data of the sign informations such as matter, shape of face, pupil color, brachium, upper-arm circumference, upper height is relative with matching scheme item by item
The data for answering item are compared, and by garment type, color, style, fabric, attend the every of the demand parameters such as occasion, Price Range
One item data is compared item by item with the data of respective items in matching scheme.In particular, by the shoulder breadth of consumer with match
The shoulder breadth of scheme carries out Similarity value calculating, judges whether both item datas are similar, by the bust and matching scheme of consumer
Bust carry out Similarity Measure, judge whether both item datas similar.If consumer's sign information, demand parameter include number
According to：A1, A2, A3, A4, A5, matching scheme includes sign information, demand parameter：A’1、A’2、A’3、A’4、
A ' 5, then carry out item by item Similarity value calculating by each correspondence item data.A1 and A ' 1 are carried out into similarity comparison
Similarity value D1 is obtained, A2 and A ' 2 is carried out into similarity comparison and is obtained Similarity value D2, A3 and A ' 3 are carried out into similarity comparison
Acquisition Similarity value D3, A4 and A ' 4 carry out similarity comparison acquisition Similarity value D4, A5 and A ' 5 and carry out similarity comparison acquisition
Similarity value D5, the like item by item contrast obtain the Similarity value of each item data.
Then last matching degree, for example, above-mentioned Similarity value are obtained according to the weight proportion of default each item data
D1 accountings 10%, Similarity value D2 accountings 10%, Similarity value D3 accountings 5%, Similarity value D4 accountings 20%, Similarity value D5
The all Similarity value accounting sums of accounting 3% are 100%.Matching degree is obtained according to default weight proportion.
S400：Clothing matching result is sequentially shown according to the size of matching degree.
Specifically, in this step, by matching degree acquired in step S300, according to matching degree size by clothing matching
Scheme shows in display interface.In display interface, matching scheme of the matching degree less than 50 can be set and do not shown, or setting only shows
Show matching scheme of the matching degree more than 80, or other display modes are set to realize consulting the matching scheme after matching.
In the different improved embodiment of above-mentioned embodiment, refering to the body reference for shown in Fig. 2, being gathered
The matching scheme of breath and clothes list product is also made whether to shine single matching scheme judgement, its concrete steps：Judgement gathers human body
Whether the matching scheme of sign information and clothes list product is to shine single matching scheme；
It is to shine single matching scheme, execution step S301：Calculate consumer's sign information, consumer demand parameter and shine single
With the Similarity value between each correspondence item data of scheme, and strong matching is obtained according to default weight proportion；
It is non-to shine single matching scheme, execution step S302：Calculate consumer's sign information, consumer demand parameter and shine single with non-
Similarity value between each correspondence item data of matching scheme, and obtain weak matching according to default weight proportion.
In this embodiment, the list matching scheme that shines refers to history consumption user by its matching scheme (including sign
Information, clothes list product information data) solarization list is shared in the form of picture, photo or video by network data, shine single match party
Case is higher as authority confidence level with real picture, photo or video, it is easier to favored by consumer.The matching scheme
It is marked as shining after single matching scheme, then the matching degree for obtaining is marked as strong matching, the matching scheme is marked as non-solarization
After single matching scheme, then the matching degree for obtaining is marked as weak matching.
When display interface shows, sequentially show that clothing matching is tied according to the category classification of strong matching and weak matching
Really, may be selected to include strong matching scheme before interface, before what matching degree was big in strong matching is displayed in, matching degree is little to be shown
Show rear.Weak matching scheme is included behind strong matched interface, the big display of matching degree is forward in weak matching, and matching degree is little
Display rearward.Or strong matching scheme, weak matching scheme show under different display interfaces, and according to the size of matching degree
Sequentially show or inverted order shows.
In one improvement embodiment of above-mentioned embodiment, in the clothing matching method based on human body physical sign information,
The calculating Similarity value includes：
The difference between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme is calculated, if
The relation between difference range and score value is put, according to the difference for being calculated the score value of each item data is obtained.Preferably
In, the full marks that give that difference is 0 preferably can be set, difference exceedes the data of prescribed limit and ignores (obtain final product 0 point).
Assume that relation is as follows between difference range and score value, wherein Ai represents history match protocol, and A ' i are represented
Consumer entering data：
| Di=| Ai-A ' i | | 0 | 0<Di≤2 | 2<Di≤3 | 3<Di≤5 | 5<Di≤6 | 6<Di |
| Score value | 100 | 90 | 80 | 60 | 50 | 0 |
After the score of difference is obtained per item data, every score is added according to default weight proportion just draws to consume
Matching degree based on person's data, wherein, the weight proportion 0%-100% per item data, ownership tuple sum is
100%.Relation between difference Di and score value is not limited only to the relation listed by upper table, difference Di and score value
Between relation can arrange according to actually used demand.
In one improvement embodiment of above-mentioned embodiment, the described clothing matching method based on human body physical sign information,
Also include storing matching scheme classification according to the performance data between human body physical sign information or clothes list product information clothes list product.
In this process, matching scheme is carried out into classification storage so that carrying out greatly reducing data meter when matching degree is calculated
The amount of counting, shortens data processing time, improves data-handling efficiency.Described classification storage is according to human body physical sign information or clothes
Single product information, classified, for example the performance data of human body physical sign information can be categorized as：It is thin, fat, high, short, height 1.5-
1.6 meters, height 1.6-1.7m, the classification such as long hair, bob, pale skin, yellow skin, casting skin, the characteristic quantity of clothes list product information
According to can be categorized as：Jacket, lower clothing, long sleeves, cotta, overcoat, fur clothing, down jackets, cotton clothes, hemp cloth, style color,
Season, version type etc..The classification storage can be believed according to the demand for using according to human body physical sign information or according to clothes list product
Breath is classified, and can be divided into the clothes list product of same type with being classified according to the performance data between clothes list product
One class, or meet the class that is divided into of a certain human body physical sign information, the classification is not limited only to listed by present embodiment
The scope of act.
Refering to shown in Fig. 3, embodiment of the present invention is also disclosed a kind of clothing matching system based on human body physical sign information, bag
Include：
Acquisition module, for gathering the matching scheme of human body physical sign information and clothes list product information and storing；
Input module, for the be input into consumer's sign information of reception and consumer demand parameter；
Matching module, for calculating consumer's sign information, consumer demand parameter corresponding item data each with matching scheme
Between Similarity value, and according to default weight proportion obtain matching degree；
First display module, for the size according to matching degree clothing matching result is sequentially shown.
The a kind of of the clothing matching system based on human body physical sign information described in above-mentioned embodiment is improved in embodiment：
Also include judge module：For judging whether the matching scheme of gathered human body physical sign information and clothes list product is to shine single match party
Case；
The matching module includes：Strong matching unit, weak matching unit；The strong matching unit is used to be judged as match party
After case, calculate consumer's sign information, consumer demand parameter and shine the similarity between each corresponding item data of single matching scheme
Value, and obtain strong matching according to default weight proportion；The weak matching unit is used to be judged as after the single matching scheme of non-solarization, counts
Consumer's sign information, the Similarity value between consumer demand parameter and each corresponding item data of non-solarization list matching scheme are calculated, and
Weak matching is obtained according to default weight proportion；First display module, for according to the classification of strong matching and weak matching point
Class shows clothing matching result.
The a kind of of the clothing matching system based on human body physical sign information described in above-mentioned embodiment is improved in embodiment,
The matching module calculates Similarity value to be included：
The difference between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme is calculated, if
The relation between difference range and score value is put, according to the difference for being calculated the score value of each item data is obtained.
The a kind of of the clothing matching system based on human body physical sign information described in above-mentioned embodiment is improved in embodiment,
Also include sort module, for the performance data general according to human body physical sign information and between clothes list product information, clothes list product
Store with scheme classification.
The a kind of of the clothing matching system based on human body physical sign information described in above-mentioned embodiment is improved in embodiment,
The human body physical sign information include height, body weight, shoulder breadth, bust, waistline, hip circumference, hip enclose, thigh circumference, calf circumference,
Leg length, brachium, sufficient neck circumference, upper-arm circumference, neck length, neck circumference, the colour of skin, hair quality, shape of face, skin mechanism, pupil color, Body proportion；
The clothes list product information includes：Style, color, season, version type.
The clothing matching system based on human body physical sign information described in above-mentioned embodiment is based on human body physical sign information
The corresponding system embodiment of clothing matching method, based on the correlation technique mentioned in the clothing matching method of human body physical sign information
Details still effectively, in order to reduce repetition, is repeated no more here in the present embodiment.
The clothing matching method based on human body physical sign information described in above-mentioned embodiment, by gathering human body physical sign information
Data modeling is carried out with the matching scheme of clothes list product, according to the sign information and consumer demand parameter of consumer clothes are carried out
Matching so that clothes list product most really with reference to consumer's sign information can be carried out Dummy modeling by matching result；By sentencing
Whether the matching scheme of disconnected gathered human body physical sign information and clothes list product is to shine single matching scheme, and matching degree is divided into into strong
With with weak matching.Wherein, it is that existing consumer shines single data to shine single matching scheme, by clothing matching result be divided into strong matching and
Weak matching, wherein the authenticity of strong matched data is higher, it is relatively reliable, it is easier to obtain the favor of consumer.Weak matched data
More advisory opinions can be provided to consumer, expand consumer apparel's list product selectable range.The Similarity value calculates comprehensive
Close and consider consumer's sign information, the difference between consumer demand parameter and each item data of matching scheme, by each of consumer
Item data is respectively calculated with each item data of existing matching scheme and compares, and its analysis is wide, complete, omnibearing can consider
Consumer demand so that the dummy model for matching more conforms to consumer.According to human body physical sign information and clothes list product, clothes
Performance data between the single product of dress stores matching scheme classification, after sorting data into storage, is carrying out Similarity Measure process
In, Similarity Measure can be carried out according to classification, remove the statistics of the little classification of the degree of association, it is to avoid carry out mass data meter
Calculate, shorten data calculation time, can quickly according to the sign information and Requirement Acquisition clothing matching result of consumer.
It should be understood that, although this specification is been described by according to embodiment, but not each embodiment only includes one
Individual independent technical scheme, this narrating mode of specification is only that for clarity those skilled in the art will should say
Bright book as an entirety, the technical scheme in each embodiment can also Jing it is appropriately combined, forming those skilled in the art can
With the other embodiment for understanding.
The a series of detailed description of those listed above is only for the feasibility embodiment of the present invention specifically
Bright, they simultaneously are not used to limit the scope of the invention, all equivalent implementations made without departing from skill spirit of the present invention
Or change should be included within the scope of the present invention.
Claims (10)
1. a kind of clothing matching method based on human body physical sign information, it is characterised in that comprise the steps：
The matching scheme of collection human body physical sign information and clothes list product information is simultaneously stored；
The be input into consumer's sign information of reception and consumer demand parameter；
The Similarity value between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme is calculated, and
Matching degree is obtained according to default weight proportion；
Clothing matching result is sequentially shown according to the size of matching degree.
2. the clothing matching method based on human body physical sign information according to claim 1, it is characterised in that：
Whether the matching scheme for also including judging gathered human body physical sign information and clothes list product information is solarization list matching scheme；
It is to shine single matching scheme, calculates consumer's sign information, consumer demand parameter and shine each corresponding item number of single matching scheme
Similarity value according between, and obtain strong matching according to default weight proportion；
It is non-to shine single matching scheme, calculate consumer's sign information, consumer demand parameter and shine each respective items of single matching scheme with non-
Similarity value between data, and obtain weak matching according to default weight proportion；
Clothing matching result is sequentially shown according to the category classification of strong matching and weak matching.
3. the clothing matching method based on human body physical sign information according to claim 1 and 2, it is characterised in that：The meter
Calculating Similarity value includes：
The difference between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme is calculated, it is poor to arrange
Relation between value scope and score value, according to the difference for being calculated the score value of each item data is obtained.
4. the clothing matching method based on human body physical sign information according to claim 1 or 3, it is characterised in that：
Also include matching scheme being classified according to human body physical sign information, the performance data between clothes list product information or clothes list product
Storage.
5. the clothing matching method based on human body physical sign information according to claim 1 or 4, it is characterised in that：
The human body physical sign information is enclosed including height, body weight, shoulder breadth, bust, waistline, hip circumference, hip, thigh circumference, calf circumference, leg
Length, brachium, sufficient neck circumference, upper-arm circumference, neck length, neck circumference, the colour of skin, hair quality, shape of face, skin mechanism, pupil color, Body proportion；
The clothes list product information includes：Style, color, season, version type.
6. a kind of clothing matching system based on human body physical sign information, it is characterised in that include：
Acquisition module, for gathering the matching scheme of human body physical sign information and clothes list product information and storing；
Input module, for the be input into consumer's sign information of reception and consumer demand parameter；
Matching module, for calculating between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme
Similarity value, and according to default weight proportion obtain matching degree；
First display module, for the size according to matching degree clothing matching result is sequentially shown.
7. the clothing matching system based on human body physical sign information according to claim 6, it is characterised in that：Also include judging
Module：For judging whether the matching scheme of gathered human body physical sign information and clothes list product information is to shine single matching scheme；
The matching module includes：Strong matching unit, weak matching unit；
The strong matching unit is used to be judged as after matching scheme, calculates consumer's sign information, consumer demand parameter and shine
Similarity value between each corresponding item data of single matching scheme, and obtain strong matching according to default weight proportion；
The weak matching unit is used to be judged as after the single matching scheme of non-solarization, calculates consumer's sign information, consumer demand and join
Similarity value between several each corresponding item datas with the single matching scheme of non-solarization, and obtain weak matching according to default weight proportion；
First display module, for sequentially showing clothing matching result according to the category classification of strong matching and weak matching.
8. the clothing matching system based on human body physical sign information according to claim 6 or 7, it is characterised in that：Described
Calculating Similarity value with module includes：
The difference between consumer's sign information, consumer demand parameter corresponding item data each with matching scheme is calculated, it is poor to arrange
Relation between value scope and score value, according to the difference for being calculated the score value of each item data is obtained.
9. the clothing matching system based on human body physical sign information according to claim 6 or 8, it is characterised in that：Also include
Sort module, for according to human body physical sign information, the performance data between clothes list product information or clothes list product by matching scheme
Classification storage.
10. the clothing matching system based on human body physical sign information according to claim 6 or 9, it is characterised in that：
The human body physical sign information is enclosed including height, body weight, shoulder breadth, bust, waistline, hip circumference, hip, thigh circumference, calf circumference, leg
Length, brachium, sufficient neck circumference, upper-arm circumference, neck length, neck circumference, the colour of skin, hair quality, shape of face, skin mechanism, pupil color, Body proportion；
The clothes list product information includes：Style, color, season, version type.
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| CN111698564A (en) * | 2020-07-27 | 2020-09-22 | 腾讯科技（深圳）有限公司 | Information recommendation method, device, equipment and storage medium |
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