CN104091274A - Garment and user matching method in network garment marketing - Google Patents
Garment and user matching method in network garment marketing Download PDFInfo
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- CN104091274A CN104091274A CN201410325811.9A CN201410325811A CN104091274A CN 104091274 A CN104091274 A CN 104091274A CN 201410325811 A CN201410325811 A CN 201410325811A CN 104091274 A CN104091274 A CN 104091274A
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Abstract
The invention provides a garment and user matching method in network garment marketing. The garment and user matching method includes the following steps: (1) inputting personal information, wherein a user inputs personal sign data to a fitting system, (2) automatically screening a model approximate to the sign data by a system according to the input personal sign data, (3) selecting an intentional garment by the user, and (4) automatically calling an effect picture after the model wears the garment from a database by the system according to the garment selected by the user. By means of the garment and user matching method, the system automatically selects the corresponding model to try on the garment according to the personnel sign data provided by the user, the effect of approximate self wearing is provided for the user, sale returning, caused by size errors, of the user is reduced, and the purchase satisfaction degree of the user is improved.
Description
Technical field
The present invention relates to a kind of method that in network clothes marketing, clothes mate with user, belong to clothes and try field on.
Background technology
Shopping online is the trend of a development; can realize stays indoors just can enjoy life; but the development along with shopping online; online purchase clothes particularly; often can face goods not to version; general online purchase clothes is to try on a dress by online model, and user cannot see the effect of oneself putting on.Cause buying and find to be not suitable for oneself.
Summary of the invention
The problem existing in order to solve prior art, the invention provides a kind of method that in network clothes marketing, clothes mate with user, can select corresponding model to try on a dress according to user's sign data, for user provides oneself effect of dress, improve the satisfaction of user's shopping.
The technical solution adopted in the present invention is:
The method that in the marketing of network clothes, clothes mate with user, the method comprises following step:
1) input personal information: user inputs individual sign data in system for trying;
2) system is selected the model approaching with this sign data according to the individual sign data Automatic sieve of typing;
3) user selects purpose clothes;
4) clothes that system is selected according to user, from database, transferring model puts on the design sketch after this clothes automatically.
Conventionally, the individual sign data in step 1 can comprise sex, age, height and body weight.
Further, can also be in steps between step 2 and step 3 2.1: user selects one of them model according to its hobby.
Preferably, in step 4, the method for Database is:
A) select the model of some different sign datas;
B) model tries the clothes of the corresponding size of all styles on, and takes pictures;
C) clapped photo and model's sign data is stored in database.
Another kind of mode: in step 4, the method for Database is:
A) computer generates the three-dimensional model of some different sign datas;
B) the corresponding clothes of all styles is synthesized to respectively with it three-dimensional model;
C) the three-dimensional model's information after all three-dimensional models' sign data and synthetic clothes is stored in database.
For women user, described individual sign data can also comprise chest measurement and waistline.
Preferably, the individual sign data of input in step 1, autostore is in database.
Beneficial effect of the present invention:
The individual sign data that the present invention provides by user, system filters out corresponding model according to this sign data automatically, again according to user-selected clothes, system is transferred the design sketch that model is wearing this specific clothes automatically from database, for user provides approximate self-effect of wearing, reduce user and return goods because of dimensional error, improve the satisfaction that user network is bought.
Embodiment
Embodiment mono-:
The invention provides a kind of method that in network clothes marketing, clothes mate with user, comprise step:
1) input personal information: user inputs individual sign data in system for trying.
Described individual sign data comprises the data such as sex, age, height, body weight and waistline, for women user, also needs to provide the data such as chest measurement.
2) system is selected the model approaching with this sign data according to the individual sign data Automatic sieve of typing.
Model's sign data is stored in database in advance, system according to individual sign data with deposit model in and contrast and filter out with the immediate model of individual sign data (be generally 3-5 individual).
As: user inputs individual sign data for (sex: man; Age: 25 years old; Height: 1.72 meters; 60 kilograms of body weight; Waistline 2.2 chis), automatically generate screening model's sign data standard (sex: man; Age: 23-27 year; Height: 1.7-1.75 rice; Body weight 58-62 kilogram; Waistline 2.1-2.3 chi), system Automatic sieve is selected all models that meet this model's sign data.
The scope fluctuating of the concrete relatively individual sign data of model's sign data standard, user can set voluntarily, and system carries a default value conventionally.
2.1) user selects one of them model according to its hobby.
Step 2.1 is a dispensable step,, according to user's selection voluntarily, in the situation that there is no 2.1 step, still can not realize completely.
3) user selects purpose clothes;
At this, it should be noted that, user-selected clothes is corresponding multiple size (often the size of the clothes of some producer and the general corresponding size of size are different) conventionally, system is according to the model of user-selected model or system automatic screening, automatically select the clothes size matching with this model, and select without user, prevent from cannot dressing afterwards because the different user of causing of size standards buys.
4) clothes that system is selected according to user, from database, transferring model puts on the design sketch after this clothes automatically.
The method of explaining Database at this is:
A) select the model of some different sign datas;
B) model tries the clothes of the corresponding size of all styles on, and takes pictures;
C) clapped photo and model's sign data is stored in database.
The photo that the design sketch of transferring in step 4 is taken after putting on clothes for model.
Because garment is all changing every year, thereby every added a trendy clothes, in the method, all models (man model spy is without trying on for minute men and women, female clothes, otherwise, the same) all need try on and take pictures, and store in database.
Embodiment 2:
The invention provides a kind of method that in network clothes marketing, clothes mate with user, comprise step:
1) input personal information: user inputs individual sign data in system for trying.
Described individual sign data comprises the data such as sex, age, height, body weight and waistline, for women user, also needs to provide the data such as chest measurement.
2) system is selected the model approaching with this sign data according to the individual sign data Automatic sieve of typing.
Model's sign data is stored in database in advance, system according to individual sign data with deposit model in and contrast and filter out with the immediate model of individual sign data (be generally 3-5 individual).
As: user inputs individual sign data for (sex: man; Age: 25 years old; Height: 1.72 meters; 60 kilograms of body weight; Waistline 2.2 chis), automatically generate screening model's sign data standard (sex: man; Age: 23-27 year; Height: 1.7-1.75 rice; Body weight 58-62 kilogram; Waistline 2.1-2.3 chi), system Automatic sieve is selected all models that meet this model's sign data.
The scope fluctuating of the concrete relatively individual sign data of model's sign data standard, user can set voluntarily, and system carries a default value conventionally.
2.1) user selects one of them model according to its hobby.
Step 2.1 is a dispensable step,, according to user's selection voluntarily, in the situation that there is no 2.1 step, still can not realize completely.
3) user selects purpose clothes;
At this, it should be noted that, user-selected clothes is corresponding multiple size (often the size of the clothes of some producer and the general corresponding size of size are different) conventionally, system is according to the model of user-selected model or system automatic screening, automatically select the clothes size matching with this model, and select without user, prevent from cannot dressing afterwards because the different user of causing of size standards buys.
4) clothes that system is selected according to user, from database, transferring model puts on the design sketch after this clothes automatically.
The method of explaining Database at this is:
A) computer generates the three-dimensional model of some different sign datas;
B) the corresponding clothes of all styles is synthesized to respectively with it three-dimensional model;
C) the three-dimensional model's information after all three-dimensional models' sign data and synthetic clothes is stored in database.
The design sketch of transferring in step 4 is for synthesizing the 3-D display figure of the three-dimensional model after clothes.
Without model is taken pictures, save a large amount of manpowers in this embodiment, improve the efficiency of the method, use in addition three-dimensional model to show, make user more intuitively observe the effect after wearing the clothes.
Embodiment 3:
The invention provides a kind of method that in network clothes marketing, clothes mate with user, comprise step:
1) input personal information: user inputs individual sign data in system for trying.
Described individual sign data comprises the data such as sex, age, height, body weight and waistline, for women user, also needs to provide the data such as chest measurement.
2) system generates corresponding three-dimensional model (this three-dimensional model's individual sign data is identical with the individual sign data of user's typing) automatically according to the individual sign data of typing.
3) user selects purpose clothes;
At this, it should be noted that, user-selected clothes is corresponding multiple size (often the size of the clothes of some producer and the general corresponding size of size are different) conventionally, system is according to generated three-dimensional model, automatically select the clothes size matching with this model, and select without user, prevent from cannot dressing afterwards because the different user of causing of size standards buys.
4) clothes that system is selected according to user, the automatically three-dimensional model's information after synthetic wearing the clothes.
In this embodiment without model is taken pictures, save a large amount of manpowers, improve the efficiency of the method, in addition use three-dimensional model to show, because the three-dimensional model's who generates individual sign data is identical with the individual sign data of user's input, make the effect after user can wear the clothes according to three-dimensional model judge the effect after oneself wearing the clothes, to improve the satisfaction for buying, reduce the situation that user returns goods.
In embodiment 1,2 and 3, the individual sign data of input in step 1, to directly be stored in (information such as name that comprise user) in database, when user reuses, can directly select the individual sign data of having stored, and without again inputting individual sign data, simplified the flow process of user's shopping online, raise the efficiency.
Simultaneously also can to canned data is modified, (consider user with advancing age, its people's sign data also has certain variation.)。
In addition, user also can upload its head portrait, by picture cutting and splicing, user's head portrait and model's health is spliced, and allows user experience more intuitively clothes and tries effect on.
The present invention is not limited to above-mentioned preferred forms; anyone can draw other various forms of methods under enlightenment of the present invention; though but on the basis of method, do any variation, every have identical with a application or akin technical scheme, within all dropping on protection scope of the present invention.
Claims (7)
1. the method that in the marketing of network clothes, clothes mate with user, is characterized in that: the method comprises following step:
1) input personal information: user inputs individual sign data in system for trying;
2) system is selected the model approaching with this sign data according to the individual sign data Automatic sieve of typing;
3) user selects purpose clothes;
4) clothes that system is selected according to user, from database, transferring model puts on the design sketch after this clothes automatically.
2. the method that in network clothes marketing according to claim 1, clothes mate with user, is characterized in that: the individual sign data in step 1 comprises sex, age, height, body weight and waistline.
3. the method that in network clothes according to claim 1 marketing, clothes mates with user, is characterized in that: between step 2 and step 3 also in steps 2.1: user likes one of them model of selection according to it.
4. the method that in network clothes marketing according to claim 1, clothes mate with user, is characterized in that: in step 4, the method for Database is:
A) select the model of some different sign datas;
B) model tries the clothes of the corresponding size of all styles on, and takes pictures;
C) clapped photo and model's sign data is stored in database.
5. the method that in network clothes marketing according to claim 1, clothes mate with user, is characterized in that: in step 4, the method for Database is:
A) computer generates the three-dimensional model of some different sign datas;
B) the corresponding clothes of all styles is synthesized to respectively with it three-dimensional model;
C) the three-dimensional model's information after all three-dimensional models' sign data and synthetic clothes is stored in database.
6. the method that in network clothes marketing according to claim 2, clothes mate with user, is characterized in that: for women user, described individual sign data also comprises chest measurement.
7. according to the method that in the network clothes marketing described in claim 1-6 any one, clothes mate with user, it is characterized in that: the individual sign data of input in step 1, autostore is in database.
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| CN201410325811.9A CN104091274A (en) | 2014-07-10 | 2014-07-10 | Garment and user matching method in network garment marketing |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105913297A (en) * | 2016-04-01 | 2016-08-31 | 南京云创大数据科技股份有限公司 | Fitting recommendation method based on big data and system |
| CN106355201A (en) * | 2016-08-31 | 2017-01-25 | 广州品唯软件有限公司 | Commodity matching method and client |
| CN107111833A (en) * | 2014-10-17 | 2017-08-29 | 电子湾有限公司 | Quick 3D model adaptations and anthropological measuring |
| CN107977882A (en) * | 2017-11-23 | 2018-05-01 | 王春林 | The online clothes zoarium degree reference method for trying picture library on is formed based on scapegoat's generation examination |
| CN110457584A (en) * | 2019-08-12 | 2019-11-15 | 西安文理学院 | A kind of computer data excavation heuristic approach based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1779687A (en) * | 2004-11-25 | 2006-05-31 | 叶武月 | Three-dimensional garment designing and cutting method |
| CN101707946A (en) * | 2007-03-19 | 2010-05-12 | 马西米利亚诺公司 | Be used for the custom tailoring of clothing and the method and system of retail |
| CN101819663A (en) * | 2009-08-27 | 2010-09-01 | 珠海琳琅信息科技有限公司 | System for virtually trying on clothes |
| CN103366290A (en) * | 2012-04-01 | 2013-10-23 | 大连文森特软件科技有限公司 | Network fitting system |
-
2014
- 2014-07-10 CN CN201410325811.9A patent/CN104091274A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1779687A (en) * | 2004-11-25 | 2006-05-31 | 叶武月 | Three-dimensional garment designing and cutting method |
| CN101707946A (en) * | 2007-03-19 | 2010-05-12 | 马西米利亚诺公司 | Be used for the custom tailoring of clothing and the method and system of retail |
| CN101819663A (en) * | 2009-08-27 | 2010-09-01 | 珠海琳琅信息科技有限公司 | System for virtually trying on clothes |
| CN103366290A (en) * | 2012-04-01 | 2013-10-23 | 大连文森特软件科技有限公司 | Network fitting system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107111833A (en) * | 2014-10-17 | 2017-08-29 | 电子湾有限公司 | Quick 3D model adaptations and anthropological measuring |
| US11403866B2 (en) | 2014-10-17 | 2022-08-02 | Ebay Inc. | Method, medium, and system for fast 3D model fitting and anthropometrics using synthetic data |
| CN105913297A (en) * | 2016-04-01 | 2016-08-31 | 南京云创大数据科技股份有限公司 | Fitting recommendation method based on big data and system |
| CN106355201A (en) * | 2016-08-31 | 2017-01-25 | 广州品唯软件有限公司 | Commodity matching method and client |
| CN107977882A (en) * | 2017-11-23 | 2018-05-01 | 王春林 | The online clothes zoarium degree reference method for trying picture library on is formed based on scapegoat's generation examination |
| CN110457584A (en) * | 2019-08-12 | 2019-11-15 | 西安文理学院 | A kind of computer data excavation heuristic approach based on big data |
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