CN115423563A - AI clothes matching method and device based on personal fashion feature analysis - Google Patents
AI clothes matching method and device based on personal fashion feature analysis Download PDFInfo
- Publication number
- CN115423563A CN115423563A CN202211107965.1A CN202211107965A CN115423563A CN 115423563 A CN115423563 A CN 115423563A CN 202211107965 A CN202211107965 A CN 202211107965A CN 115423563 A CN115423563 A CN 115423563A
- Authority
- CN
- China
- Prior art keywords
- source program
- fashion
- consumer
- personal
- diagnosis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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]
- G06Q30/0621—Item configuration or customization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Electromagnetism (AREA)
- Human Computer Interaction (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Toxicology (AREA)
- Artificial Intelligence (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an AI clothes matching method and device based on personal fashion feature analysis, relating to the technical field of shopping assistance devices, wherein the method comprises the following steps: acquiring a photo of a consumer; processing the photo through a face scanning source program to obtain a scanned photo of a consumer; extracting skin color data from a human skin color database through a human color conversion calculation source program based on the scanned picture; extracting the color of the face through a human face color extraction optimization algorithm source program; diagnosing the fashion style of the consumer through a human face style diagnosis code and a source program and a data structure source program of a personal fashion gene; and calculating the decoration category suitable for the consumer through the network color diagnosis source program, the network style diagnosis source program and the network body type diagnosis source program, and generating a personal clothing fashion diagnosis report of the consumer. The invention can quickly position and match suitable decorations for customers according to personal characteristics, thereby saving time of customers.
Description
The invention relates to a divisional application of a 'one-kind-of-goods-together machine', wherein the application number of a parent case is 201710451282.0, and the application date is 2017.06.15.
Technical Field
The invention relates to the technical field of shopping assistance devices, in particular to an AI clothes matching method and device based on personal fashion feature analysis.
Background
At present, various ornaments and clothes are available in shopping malls, and the varieties are various. Each person has different tastes according to different personal styles, and if the person finds the person in a shopping mall, the person wastes time and cannot necessarily find the person suitable for the person.
Disclosure of Invention
The invention aims to provide an AI clothes matching method and device based on personal fashion feature analysis, which can quickly position and match proper decorations for customers according to personal characteristics and save time of customers.
In order to achieve the purpose, the invention provides the following scheme:
an AI clothes collocation method based on personal fashion feature analysis comprises the following steps:
acquiring a photo of a consumer;
processing the photo through a face scanning source program to obtain a scanned photo of the consumer;
extracting skin color data from a human skin color database through a human color conversion calculation source program based on the scanned picture;
extracting the color of the face through a human face color extraction optimization algorithm source program;
diagnosing the fashion style of the consumer through a human face style diagnosis code and a source program and a data structure source program of a personal fashion gene;
and calculating the decoration category suitable for the consumer through the network color diagnosis source program, the network style diagnosis source program and the network body type diagnosis source program, and generating a personal clothing fashion diagnosis report of the consumer.
Optionally, the AI clothes matching method based on personal fashion feature analysis further includes:
and generating a source program, a fashion gene data structure source program of the commodity, an accurate advertisement pushing source program, a fashion search engine code source program and a fashion advisor suggestion shared knowledge base through a color collocation scheme to serve the consumers.
In order to achieve the purpose, the invention also provides the following technical scheme:
an AI clothes matching device based on personal fashion feature analysis comprises a base and a vertical cabinet, wherein the vertical cabinet body is arranged on the base, a camera, a screen and a USB interface are arranged on the vertical cabinet, and a computer host is arranged in the vertical cabinet; the computer host is respectively connected with the camera and the screen;
the camera is used for acquiring a picture of a consumer;
the computer host is used for executing an AI clothes matching method based on personal fashion characteristic analysis to obtain a personal clothes fashion diagnosis report, then automatically recommending commodity information according to the personal clothes fashion diagnosis report, and providing commodity positioning;
the screen comprises a selection screen and a result screen, the result screen is rotatably arranged above the vertical cabinet, and the selection screen is fixedly arranged below the vertical cabinet; the selection screen is used for selecting different schemes of clothes;
the USB interface is used for downloading a personal clothing fashion diagnosis report of the consumer and uploading a photo of the consumer.
Optionally, a WeChat two-dimensional code is arranged on the vertical cabinet;
when the mobile phone is in work, the consumer scans the WeChat two-dimensional code by using a mobile phone, and uploads a photo of the consumer and downloads a fashion report of the consumer through WeChat.
Optionally, a solid state disk and a wireless network generator are further arranged in the vertical cabinet;
the computer host is electrically connected with the solid state disk; the solid state disk is used for storing information of consumers; the wireless network generator is used for providing a wireless network for the mobile phone so as to realize data downloading and use.
Optionally, a plug-in for interfacing with the e-commerce platform and the background system and a source program integrated with the pay platform are arranged in the computer host.
Optionally, a weight stabilizer is arranged in the base; the lower end of the base is provided with a plurality of universal wheels.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides an AI clothes collocation method and a device based on personal fashion feature analysis, which are used for obtaining a picture of a consumer, obtaining the truest picture of the consumer through a face scanning source program, and extracting relevant data in a human skin color database through a human body color conversion calculation source program; the method comprises the steps of extracting facial colors by a human facial color extraction optimization algorithm source program, diagnosing the fashion style of the whole person by a human face style diagnosis code and source program and a data structure source program of a personal fashion gene, and calculating the decoration category suitable for consumers by a network color diagnosis source program, a network style diagnosis source program and a network body type diagnosis source program. After the matching is completed, an individualized personal dress fashion diagnosis report is generated, so that dress matching according with the personal image of the consumer is quickly given, individualized image design is provided for the consumer, the consumer does not need to search and try different clothes everywhere, and the time of the consumer is saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other structural schematic diagrams according to these drawings without inventive labor.
FIG. 1 is a schematic structural diagram of an AI clothes collocation facility based on personal fashion feature analysis in accordance with the present invention;
FIG. 2 is a side view of an AI garment matching device of the invention based on personal fashion profile analysis;
fig. 3 is a rear view of the AI clothes collocation apparatus of the present invention based on personal fashion profile analysis.
Description of the symbols:
the method comprises the following steps of 1-base, 2-vertical cabinet, 3-camera, 4-USB interface, 5-computer host, 6-solid state disk, 7-wireless network generator, 8-selection screen, 9-result screen, 10-WeChat two-dimensional code, 11-weight stabilizing block and 12-universal wheel.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention provides an AI clothes matching method based on personal fashion feature analysis, which comprises the following steps: acquiring a photo of a consumer; processing the photo through a face scanning source program to obtain a scanned photo of the consumer; extracting skin color data from a human skin color database through a human color conversion calculation source program based on the scanned picture; extracting the color of the face through a human face color extraction optimization algorithm source program; diagnosing the fashion style of the consumer through a human face style diagnostic code and a source program and a data structure source program of a personal fashion gene; and calculating the decoration category suitable for the consumer through the network color diagnosis source program, the network style diagnosis source program and the network body type diagnosis source program, and generating a personal clothing fashion diagnosis report of the consumer.
Preferably, the AI clothes matching method based on personal fashion feature analysis further includes: and generating a source program, a fashion gene data structure source program of the commodity, an accurate advertisement pushing source program, a fashion search engine code source program and a fashion advisor suggestion shared knowledge base through a color collocation scheme, and serving the consumers.
The invention also provides an AI clothing matching device based on personal fashion characteristic analysis, as shown in figures 1-3, the clothing matching device is specifically a shopping assistant machine, the shopping assistant machine comprises a base 1 and a vertical cabinet 2, the vertical cabinet is arranged on the base 1, the vertical cabinet 2 is provided with a camera 3, a screen and a USB interface 4, the vertical cabinet 2 is internally provided with a computer host 5, a solid state disk 6 and a wireless network generator 7, the computer host 5 is respectively electrically connected with the camera 3, the screen and the solid state disk 6, the screen comprises a selection screen 8 and a result screen 9, the result screen 9 is rotatably arranged above the vertical cabinet 2, the selection screen 8 is fixedly arranged below the vertical cabinet 2, the result screen 9 can rotate on the vertical cabinet 2, the USB interface 4 can be used for downloading and uploading some data, the solid state disk 6 can be used for storing some customer information, the selection screen 8 can be used for selecting screens of different schemes, and the wireless network generator 7 can provide wireless network for mobile phones for downloading and using.
In this embodiment, a human face scanning source program, a color matching scheme generation source program, a human skin color database, a human color conversion calculation source program, a human face color extraction optimization algorithm source program, a human face style diagnosis code and source program, a data structure source program of a personal fashion gene, a fashion gene data structure source program of a commodity, a network color diagnosis source program, a network style diagnosis source program, a network body type diagnosis source program, an accurate advertisement push source program, a fashion search engine code source program, and a fashion advisor recommendation shared knowledge base are provided in the computer host 5.
In this embodiment, a plug-in connected to the e-commerce platform and the background system and a source program integrated with the payer platform are provided in the computer host 5, which facilitates online purchase and payment and simplifies the whole consumption process. The vertical cabinet 2 is provided with the WeChat two-dimensional code 10, public numbers can be added, and relevant data of the vertical cabinet can be searched and downloaded.
In this embodiment, the weight stabilizer 11 is arranged in the base 1 to ensure the stability of the whole device; the lower end of the base 1 is provided with a plurality of universal wheels 12, so that the whole base can be conveniently moved.
Based on the above: the invention provides a accompany machine, a consumer stands in front of the accompany machine, a camera 3 irradiates a picture of the consumer, the truest picture of the consumer is obtained through a face scanning source program, a mobile phone can be used for scanning a WeChat two-dimensional code 10, the picture of the consumer is uploaded and a fashion report of the consumer is downloaded through WeChat, a human body color conversion calculation source program extracts relevant data from a human body skin color database, when the picture is transmitted to a computer host 5, firstly, the color of the face is extracted by a human body face color extraction optimization algorithm source program, then the fashion style of the whole person is diagnosed by a face style diagnosis code, a source program and a data structure source program of a personal fashion gene, and then the decoration category suitable for the consumer is calculated through a local and network color diagnosis source program, a network style diagnosis source program and a network body type diagnosis source program, after the series of matching is completed, a report is generated, an individualized personal clothing fashion diagnosis report is provided, a customer can pay attention to the report by using a WeChat code scanning mode and downloads the report to a mobile phone, the system automatically and immediately recommends proper brand and commodity information according to the personal fashion diagnosis report and provides commodity positioning, a shop owner can perform post-accurate commodity pushing according to the fashion rule of the customer and the left contact information, and on-site purchasing can be realized through a plug-in which a E-commerce platform and a background system are in butt joint and a source program integrated with a Payment platform.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (7)
1. An AI clothes matching method based on personal fashion feature analysis is characterized in that the AI clothes matching method based on personal fashion feature analysis comprises the following steps:
acquiring a photo of a consumer;
processing the photo through a face scanning source program to obtain a scanned photo of the consumer;
extracting skin color data from a human skin color database through a human color conversion calculation source program based on the scanned picture;
extracting the color of the face through a human face color extraction optimization algorithm source program;
diagnosing the fashion style of the consumer through a human face style diagnosis code and a source program and a data structure source program of a personal fashion gene;
and calculating the decoration category suitable for the consumer through the network color diagnosis source program, the network style diagnosis source program and the network body type diagnosis source program, and generating a personal dress fashion diagnosis report of the consumer.
2. The personal fashion feature analysis based AI garment matching method according to claim 1, further comprising:
and generating a source program, a fashion gene data structure source program of the commodity, an accurate advertisement pushing source program, a fashion search engine code source program and a fashion advisor suggestion shared knowledge base through a color collocation scheme, and serving the consumers.
3. An AI clothes matching device based on personal fashion feature analysis is characterized by comprising a base and a vertical cabinet, wherein the vertical cabinet body is arranged on the base, the vertical cabinet is provided with a camera, a screen and a USB interface, and a computer host is arranged in the vertical cabinet; the computer host is respectively connected with the camera and the screen;
the camera is used for acquiring a picture of a consumer;
the computer host is used for executing the AI clothes matching method based on the personal fashion characteristics analysis as claimed in any one of the claims 1-2, so as to obtain a personal clothes fashion diagnosis report, and then automatically recommending commodity information according to the personal clothes fashion diagnosis report and providing commodity positioning;
the screen comprises a selecting screen and a result screen, the result screen is rotatably arranged above the vertical cabinet, and the selecting screen is fixedly arranged below the vertical cabinet; the selection screen is used for selecting different schemes of clothes;
the USB interface is used for downloading the personal dress fashion diagnosis report of the consumer and uploading the picture of the consumer.
4. The AI clothes collocation device of claim 3 based on personal fashion feature analysis, wherein the vertical cabinet is provided with a WeChat two-dimensional code;
when the mobile phone is in work, the consumer scans the WeChat two-dimensional code by using a mobile phone, and uploads a photo of the consumer and downloads a fashion report of the consumer through WeChat.
5. The AI clothes collocation device of claim 3 that is based on personal fashion feature analysis, wherein a solid state disk and a wireless network generator are also provided in the vertical cabinet;
the computer host is electrically connected with the solid state disk; the solid state disk is used for storing information of consumers; the wireless network generator is used for providing a wireless network for the mobile phone so as to realize data downloading and use.
6. The AI clothes match device of claim 3 based on personal fashion signature analysis wherein a plug-in is provided within the computer host that interfaces with the e-commerce platform and the background system, a source program that is integrated with the PABAO platform.
7. The AI clothing matching apparatus based on personal fashion characteristics analysis of claim 3 wherein a weight stabilizer is provided within the base; the lower end of the base is provided with a plurality of universal wheels.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211107965.1A CN115423563A (en) | 2017-06-15 | 2017-06-15 | AI clothes matching method and device based on personal fashion feature analysis |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710451282.0A CN107273952A (en) | 2017-06-15 | 2017-06-15 | One kind is accompanied sb. to do shopping machine |
| CN202211107965.1A CN115423563A (en) | 2017-06-15 | 2017-06-15 | AI clothes matching method and device based on personal fashion feature analysis |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710451282.0A Division CN107273952A (en) | 2017-06-15 | 2017-06-15 | One kind is accompanied sb. to do shopping machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115423563A true CN115423563A (en) | 2022-12-02 |
Family
ID=60066321
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710451282.0A Pending CN107273952A (en) | 2017-06-15 | 2017-06-15 | One kind is accompanied sb. to do shopping machine |
| CN202211107965.1A Pending CN115423563A (en) | 2017-06-15 | 2017-06-15 | AI clothes matching method and device based on personal fashion feature analysis |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710451282.0A Pending CN107273952A (en) | 2017-06-15 | 2017-06-15 | One kind is accompanied sb. to do shopping machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN107273952A (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108109010A (en) * | 2017-12-26 | 2018-06-01 | 南京开为网络科技有限公司 | A kind of intelligence AR advertisement machines |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202275408U (en) * | 2011-06-20 | 2012-06-13 | 刘时 | Fitting mirror |
| CN203054923U (en) * | 2013-01-23 | 2013-07-10 | 贵州宝森科技有限公司 | Three-dimensional (3D) shopping guide machine system |
| CN103761930A (en) * | 2014-01-23 | 2014-04-30 | 贵州宝森科技有限公司 | Double-screen multifunctional advertisement player |
| CN105167290A (en) * | 2014-05-27 | 2015-12-23 | 肖莎 | Method for obtaining clothing matching index based on human body external image characteristic analysis |
| CN205427940U (en) * | 2016-02-23 | 2016-08-03 | 苏州君为电子科技有限公司 | Show machine is felt to virtual body |
-
2017
- 2017-06-15 CN CN201710451282.0A patent/CN107273952A/en active Pending
- 2017-06-15 CN CN202211107965.1A patent/CN115423563A/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| CN107273952A (en) | 2017-10-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6806127B2 (en) | Search system, search method, and program | |
| JP6801696B2 (en) | Search support system, search support method and search support program | |
| US20230014804A1 (en) | Processing user selectable product images and facilitating visualization-assisted virtual dressing | |
| EP3479296B1 (en) | System of virtual dressing utilizing image processing, machine learning, and computer vision | |
| KR102127562B1 (en) | Apparatus and method for providing coordinating service for clothing shopping mall | |
| CN111681070B (en) | Online commodity purchasing method, purchasing device, storage device and purchasing equipment | |
| US20140032359A1 (en) | System and method for providing intelligent recommendations | |
| KR20190000397A (en) | Fashion preference analysis | |
| CN104778594A (en) | Novel intelligent online clothes shopping platform system and method | |
| WO2017005014A1 (en) | Method and device for searching matched commodities | |
| CN102855273A (en) | Terminal and information acquisition method | |
| KR102415338B1 (en) | Apparatus and method for clothing sales service based on augmented reality | |
| KR20130027801A (en) | User terminal for style matching, style matching system using the user terminal and method thereof | |
| CN101136096A (en) | Dress ornament evaluating and matching system and method on internet | |
| CN104318446A (en) | Virtual fitting method and system | |
| CN102609871A (en) | Network self-service store and shopping method thereof | |
| CN108596730A (en) | Processing method, device and the smart machine of dress ornament information | |
| JP5264634B2 (en) | Coordinating system, coordinating method and program | |
| KR101623946B1 (en) | Method, and computer program for virtual wearing | |
| CN108961015A (en) | A kind of online virtual examination shoes method | |
| CN108876930A (en) | A kind of personal image management application method and system | |
| KR20200025291A (en) | A shopping service procedure and shopping service system using personal community device | |
| CN107316218A (en) | A kind of network fitting method and system | |
| CN115423563A (en) | AI clothes matching method and device based on personal fashion feature analysis | |
| CN111598657A (en) | Commodity recommendation method and equipment based on image processing and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |