Lazy Convenient clothes matching advice system based on electronic commerce

An e-commerce, lazy person technology, applied in the field of lazy person matching and dressing suggestion system, to increase interest and reduce risks

Inactive Publication Date: 2013-03-13
JIANGSU CAS JUNSHINE TECH
4 Cites 35 Cited by

AI-Extracted Technical Summary

Problems solved by technology

But when buying clothes online, many people worry about what kind of clothes to wear, what colo...
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Abstract

The invention provides a lazyconvenient clothes matching advice system based on the electronic commerce. The lazyconvenient clothes matching advice system based on the electronic commerce comprises a human body model generation module, a human face identification and human body identification module, a clothes database search module, a matching charting module and an API (application program interface) interface, wherein the human body model generation module generates a human body model picture according to a whole-body picture uploaded by a user as well as data, such as the gender and the height input by the user; the human face identification and human body identification module obtains a human face identification and human body identification analysis result according to the whole-body picture uploaded by the user; the clothes database search module searches to obtain one or a plurality of matched clothes according to the human face identification and human body identification analysis result as well as the data, such as the gender, the height and the temperature input by the user; and the matching charting module adds the one or a plurality of matched clothes obtained by searching onto the generated human body model picture to generate one or a plurality of matching effect pictures. According to the lazyconvenient clothes matching advice system based on the electronic commerce, which is disclosed by the invention, the clothes matching effect can be obtained before a the user purchases the clothes on the internetInternet.

Application Domain

Technology Topic

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  • Lazy Convenient clothes matching advice system based on electronic commerce
  • Lazy Convenient clothes matching advice system based on electronic commerce
  • Lazy Convenient clothes matching advice system based on electronic commerce

Examples

  • Experimental program(1)

Example Embodiment

[0017] The present invention will be further described below in conjunction with specific drawings and embodiments.
[0018] like figure 1 , as shown in Figure 2: An e-commerce-based lazy person matching and dressing suggestion system, also known as "electronic stylist", includes a human body model generation module, a face recognition and human body recognition module, a clothing database search module, and a matching drawing module , API interface.
[0019] The module for generating a human body model generates a human body model picture according to the whole-body photo uploaded by the user and the data of gender, height, weight, and measurements input by the user.
[0020] The face recognition and human body recognition module analyzes the user's facial and body features, skin color and body frame according to the whole-body photo uploaded by the user, and obtains the face recognition and human body recognition analysis results.
[0021] The clothing database search module connects to the clothing database through the API interface, and accesses the clothing database according to the analysis results of face recognition and human body recognition, as well as the gender, height, weight, measurements, objective factors, and desired style input by the user, and searches to obtain a one or more matching garments.
[0022] The collocation drawing module adds one or more matching clothing obtained from the search to the generated mannequin picture to generate one or more collocation effect pictures.
[0023] The human body model pictures generated by the generating human body model module include plane, multi-faceted 360-degree rotating or 3D three-dimensional human body model pictures.
[0024] The objective factors include weather, temperature, and occasion.
[0025] As shown in Figure 2, the application process of the present invention is as follows:
[0026] An online store has established a clothing database with rich clothing resources. For example, if this system is applied to an online store like "Dream Bazaar", the clothing database contains all the clothing information in the electronic store. The present invention connects the clothing database through the API interface.
[0027] The user logs into the online shop, enters such as image 3 As shown in interface 1, the user starts to choose clothes at this time. If the user wants to refer to the opinions of the "lazy" matching and dressing suggestion system based on e-commerce, click image 3 "Auto match" button, enter as Figure 4 interface two.
[0028] exist Figure 4 In the interface 2 of the interface, the user first clicks the "upload preview" button to upload his full-body photo to the system, and then enters his gender, height, weight, measurements, weather, temperature, and occasion in the data column on the left of the interface 2. , expected style and other data. Then click the "Search" button.
[0029] Subsequently, the human body model generation module generates plane, multi-faceted 360-degree rotation or 3D three-dimensional human body model pictures based on the full-body photos uploaded by the user, the gender, height, weight, and measurements input by the user; The full-body photo analyzes the user's facial features, body features, skin color and body frame, and obtains the analysis results of face recognition and human body recognition; the clothing database search module searches the database to find out the user's face features, body features, skin color, weather, The clothing that best matches the occasion and other parameters.
[0030] Finally, the collocation drawing module adds one or more matching clothing obtained from the search to the generated mannequin picture to generate one or more collocation effect pictures. The effect picture is shown in the Figure 5 The "recommended collocation" area shown in interface 3. The user observes the collocation effect picture, and if the system recommends it well, they can buy it.
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Description & Claims & Application Information

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the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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