Garment selection and purchase method based on garment try-on system

Abstract

The invention discloses a clothing try-on system-based clothing selection and purchase method, a network clothing selection and purchase system comprises a background control system, an information storage system and a client system, and the background control system comprises a clothing try-on system and a background management system; the clothes purchasing method comprises the steps of A1, logging in a system, A2, supplementing personal information, A3, searching clothes information, A4, trying on clothes, A5, purchasing and forwarding and the like. According to the garment selection and purchase method based on the garment try-on system, personal try-on effect video schemes of various garments under various actions are constructed through the garment try-on system, and the video schemes are clear and visual; meanwhile, by means of clothes selection and purchase of the network clothes selection and purchase system, the try-on time for the user to purchase clothes can be greatly shortened.

Description

Technical Field

[0001] This invention relates to the field of clothing technology, specifically to a clothing selection method based on a clothing try-on system. Background Technology

[0002] Online shopping is a growing trend, allowing people to enjoy life without leaving home. However, with the development of online shopping, especially for clothing, the inability to try on clothes can easily lead to unsuitable garments. Current technology often uses models to try on clothes, but different people have different heights and body types, and models cannot accurately represent how the clothes will look on the user, resulting in a stark contrast between the buyer's and seller's photos. In contrast, buying clothes in physical stores requires a significant amount of time and effort to try on different items. Summary of the Invention

[0003] The purpose of this invention is to provide a clothing selection method based on a clothing try-on system, thereby overcoming the shortcomings of existing technologies. It eliminates the reliance on dedicated hardware (such as motion-sensing cameras, 3D smart TVs, 3D glasses, etc.), relying entirely on the internet and software systems. This allows users to "try on clothes with one click" anytime, anywhere, and entirely online via a client application. Users can view clear, intuitive, and realistic multi-scene try-on videos, which can be shared on other social media platforms to showcase their style and receive compliments from friends. Simultaneously, users can select clothing for their parents, compensating for the inability to be with them. This upgrades personal shopping into an interactive, experiential, and socialized decision-making process, greatly improving satisfaction and accuracy during the try-on process, reducing the hassle of returns and exchanges, and providing users with a simple, efficient, convenient, and enjoyable clothing selection experience.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A clothing selection method based on a clothing try-on system includes the following steps:

[0006] A1. System Login: In the client system, users register their personal information and log in to the entire system through the login unit. During personal information registration, the backend control system receives the personal registration information and submits it to the information storage system for storage.

[0007] A2. Supplementing Personal Information: In the client system, through the settings unit, customers can input detailed 3D human body data, including their headshot, height, weight, voice, and upright side profile; or upload a personal body photo. The settings unit uses its built-in software to analyze and supplement the user's 3D data using the mathematical model of motion trajectory stored in the clothing try-on system—the "living human body" model. This completes the user's personal body information and constructs a "living user" model. The backend management system receives the "living user" model and submits it to the information storage system for storage.

[0008] A3. Search for clothing information: In the client system, the clothing search command is issued through the search command unit. The back-end management system searches for the clothing you want to buy through the Internet and saves it to the shopping cart. The client system will automatically pop up the "I want to try it on" option in the try-on unit.

[0009] A4. One-Click Try-On: In the client system, clicking the "Try On" command in the try-on command unit transfers the clothing stored in the shopping cart to the clothing try-on system in the backend control system. The clothing try-on system extracts the "live user" model from the storage system, puts the selected clothing on the "live user" model using its built-in software, and then replaces the "live user" model wearing the selected clothing with the person in various videos stored in the clothing try-on system beforehand. The software ensures that the actions of the "live user" in the replaced video are consistent with the actions of the person in the original video. Finally, the adjusted video is sent back to the client. Simultaneously, the "+" and "-" commands in the try-on command unit can be used to change the size of the clothing being tried on. Clicking "+" sends a command to increase the size of the clothing; clicking "-" sends a command to decrease the size of the clothing.

[0010] A5. Purchase and Forward: For clothing selected and tried on to your satisfaction, you can purchase the clothing by placing an order through the "Purchase" option in the "Try On" section; or you can continue to select and try on other clothing by using the "Abandon" option in the "Try On" section; at the same time, you can extract and save the personal try-on effect of the clothing or send it to other software platforms through the "Forward" option in the "Try On" section.

[0011] A clothing selection system based on a clothing try-on system includes:

[0012] The back-end control system includes a clothing try-on system and a back-end management system.

[0013] Information storage system; used to store various input information from the client system and operational information from the back-end management system;

[0014] The client system allows users to directly operate the clothing try-on system in the background, enabling one-click try-on and obtaining clear, intuitive, and realistic try-on videos, effectively improving the user experience.

[0015] Preferably, the method for constructing the clothing try-on system includes the following steps:

[0016] S1. Construction of the 3D Human Body Model: This involves extracting and constructing a 3D human body model from the personal 3D data input into the client system. The extraction of personal 3D data is based on standards GB10000-1988 "Anthropometric Dimensions of Chinese Adults" and GB / T26158-2010 "Anthropometric Dimensions of Chinese Minors." The 3D human body model is constructed using CATIA software and CATIA hybrid modeling technology. In the client system, facial photos are extracted through photography or scanning. During the 3D human body model construction process, AI technology is used to attach these facial photos to the 3D human body model, giving the constructed 3D human body model a realistic facial effect.

[0017] S2. Construction of 3D Clothing Models: Based on 3D clothing data information found through internet searches, supplemented by size data, images, and colors, and using image data analysis software, 3D clothing data is obtained to construct various 3D clothing models; through the searched size data, images, and colors, and through parametric clothing modeling or single-view 3D reconstruction technology, 3D clothing data is obtained to correct or supplement the searched 3D clothing data information, constructing various 3D clothing models with appearance rendering effects;

[0018] S3. Assembly of 3D models of human body and clothing: Assemble the 3D models of various clothing with the 3D model of human body to create a 3D model of human body with various clothing attached; The construction of the 3D model of human body with various clothing attached is carried out using CATIA, Pro / E or 3ds Max software. Constraints are applied to the 3D model of clothing and the 3D model of human body using 3D coordinates and three angles to realize the assembly of the 3D model of clothing and the 3D model of human body.

[0019] S4. Establishment of a mathematical model of motion trajectory: Through the client system, collect human motion trajectory information under various actions and establish a mathematical model of motion trajectory;

[0020] S5. Construction of Personal Fitting Effect for Clothing: This specifically includes: Establishing a model resource library: Through the aforementioned steps, constructing and storing standardized model resources including "live user" models and motion trajectory mathematical models; Establishing a scene resource database: Pre-storing dynamic videos containing various scenes to provide rich visual backgrounds for the fitting effect; Integrating a rendering engine: Storing software with the following functions, enabling it to call the above models and scene data in real time, and to perform actions such as replacing the "live user" with the person in the video, ensuring that the "live user's" movements are consistent with the movements of the person in the original video, adjusting the video to normal, and then sending the video back to the client, as well as parsing and executing user-issued instructions to adjust clothing size at any time; thereby completing the construction of the clothing fitting system.

[0021] Preferably, the client system is used for inputting and outputting customer personal information, including customer three-dimensional human body data, receiving human motion trajectory information under various actions, clothing try-on instructions, and clothing purchase operation instructions; the client system includes:

[0022] Login unit;

[0023] The setting unit is used to input the customer's personal three-dimensional human body data information, including the customer's head image, height, weight, voice, and upright side profile.

[0024] The search command unit is used to receive the input search instructions and transmit them to the back-end management system. The back-end management system then retrieves various clothing information from the Internet clothing trading platform via the Internet.

[0025] The try-on command unit receives input try-on instructions and transmits them to the back-end management system. The back-end management system then transmits various clothing information retrieved from the Internet to the clothing try-on system for trying on, and presents try-on effect videos of various clothing in different poses using individual 3D models. At the same time, it receives input forwarding and purchase instructions, and through the back-end management system, it can extract and forward the try-on effect, including video or image information, and place orders for the clothing.

[0026] Preferably, after receiving a try-on instruction, the background management system transmits various information about the garment retrieved via the Internet, including garment execution standards, 3D data information, images, dimensions, and colors, to the garment try-on system for try-on. In the event that the 3D data information of the garment is missing, the garment try-on system can analyze the retrieved images and dimensions of the garment, supplement the missing 3D data, and then conduct an online try-on.

[0027] Preferably, no special hardware (such as motion-sensing cameras, 3D smart TVs, 3D glasses, etc.) is required. It can be operated directly through the client system, in any scenario, anytime, anywhere, and online throughout the process. Through the clothing try-on system in the background, it can achieve simple, efficient, fast and convenient one-click try-on. The obtained try-on videos are clear, intuitive and realistic, which effectively improves the user experience.

[0028] Preferably, the back-end management system is used to receive information instructions from the client system and manage the information, while also conducting information search and processing via the Internet, connecting to the online clothing trading platform, and providing information output feedback.

[0029] The clothing try-on system is used to combine human body 3D data information input from the client system, human body movement trajectory information under various actions, and clothing 3D data information obtained through Internet search and processing to construct the try-on effect of various clothing personal 3D models under various actions, and manage it through the back-end management system.

[0030] The beneficial effects of this invention are as follows:

[0031] (1) The present invention provides a clothing selection method based on a clothing try-on system. It does not require special hardware (such as a motion-sensing camera, 3D smart TV, 3D glasses, etc.). It can be operated directly through a client system. It can be used in any scenario, anytime and anywhere, and online throughout the process. Through the clothing try-on system in the background, it can achieve simple, efficient, fast and convenient one-click try-on, clear, intuitive and realistic multi-scenario try-on videos, and can also be forwarded to other social platforms to show off one's style and enjoy the praise of friends. At the same time, it can also purchase clothes that satisfy parents far away to make up for the apology of not being able to accompany them. It upgrades personal shopping behavior into an interactive and experiential social decision-making process, which greatly improves the satisfaction and decision accuracy of the try-on process, thereby reducing the trouble of returning and exchanging clothes, allowing users to feel a simple, efficient, fast and convenient clothing selection experience, and effectively improving the user experience.

[0032] (2) The present invention provides a clothing selection method based on a clothing try-on system. The clothing selection is based on a network-based clothing try-on system, which eliminates the hassle of trying on clothes in shopping malls, greatly shortens the time users spend trying on clothes, saves time and effort, and makes selection easy.

[0033] (3) The clothing of the present invention has a good fitting experience, is easy to spread and communicate, and enables one person to easily buy for the whole family and achieve everyone's satisfaction, effectively increasing the family's happiness and promoting the sales of clothing.

[0034] (4) It effectively solves the problem that many users find clothes they buy online look good but don't look good on them.

[0035] (5) It effectively solves the problem of inconsistent sizes and labels among various garment manufacturers, which causes users to buy clothes that are too big or too small, significantly reduces returns and exchanges, and saves a lot of social resources.

[0036] (6) It effectively solves the problem that users are afraid of not being able to buy leftover stock when manufacturers are clearing out their stock, thus promoting the healthy development of the industry. Detailed Implementation

[0037] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to specific embodiments.

[0038] A clothing purchase method based on a clothing try-on system includes a back-end control system, an information storage system, and a client system. The back-end control system includes a clothing try-on system and a back-end management system.

[0039] The clothing selection method based on a clothing try-on system is characterized by the ability to directly operate through a client system and utilize the backend clothing try-on system to achieve one-click try-on, resulting in clear, intuitive, and realistic try-on videos that effectively enhance the user experience.

[0040] The client system is capable of inputting and outputting customer personal information, including customer 3D human body data, human body movement trajectory information under various actions, clothing try-on instructions, and clothing purchase operation instructions.

[0041] The client system includes a login unit, a settings unit, a search command unit, and a try-on command unit. The settings unit allows users to input their personal 3D human body data, including their headshot, height, weight, voice, and body type. The search command unit receives search commands and transmits them to the backend management system, which then retrieves various clothing information from online clothing trading platforms. The try-on command unit receives try-on commands and transmits them to the backend management system. The backend management system then transmits the clothing information retrieved from the internet to the clothing try-on system for trying on, displaying the try-on effect of various clothing items in different poses using the user's 3D model. Simultaneously, it receives forwarding and purchase commands, allowing the backend management system to extract and forward information from the try-on effect (including videos or images) and to place orders for the clothing. Upon receiving a try-on instruction, the backend management system transmits various information about the garment retrieved via the internet, including garment execution standards, 3D data, images, dimensions, and colors, to the garment try-on system for testing. If the garment's 3D data is missing, the garment try-on system can analyze the retrieved images and dimensions of the garment, supplement the missing 3D data, and then proceed with the try-on.

[0042] The back-end management system can receive information instructions from the client system and manage the information. It can also search and process information via the Internet, connect to online clothing trading platforms, and output and provide feedback.

[0043] The clothing try-on system can combine human 3D data information input from the client system, human motion trajectory information under various actions, and clothing 3D data information obtained through Internet search and processing to create try-on effects of various clothing personal 3D models under various actions, and manage them through the back-end management system.

[0044] An information storage system is capable of storing various input information from the client system and operational information from the back-end management system.

[0045] The above-mentioned clothing try-on system is constructed by the following steps:

[0046] S1. Construction of the 3D Human Body Model: This involves extracting and constructing a 3D human body model from the individual's 3D data input into the client system. The extraction of the individual's 3D data is based on standards GB 10000-1988 "Anthropometric Dimensions of Chinese Adults" and GB / T 26158-2010 "Anthropometric Dimensions of Chinese Minors." The 3D human body model is constructed using CATIA software and CATIA hybrid modeling technology. In the 3D human body model construction process, the client system extracts the individual's facial photograph through photography or scanning. During the 3D human body model construction, AI technology is used to attach the facial photograph to the 3D human body model, giving the constructed 3D human body model a realistic facial appearance.

[0047] S2. Construction of 3D Clothing Models: Based on 3D clothing data found online, supplemented by size data, images, and colors, and utilizing image data analysis software, various 3D clothing models are constructed. In the construction of these 3D clothing models, the found size data, images, and colors are used, along with image data analysis software, to obtain and correct or supplement the searched 3D clothing data. The resulting 3D clothing models have visual rendering effects.

[0048] S3. Assembly of the 3D Human Body and Clothing Models: This step involves assembling the 3D models of various garments with the 3D human body model to create a 3D model of the human body with the garments attached. The construction of the 3D model of the human body with the garments attached is done using software such as CATIA, Pro / E, or 3ds Max. Constraints are applied to both the 3D models of the garments and the 3D models of the human body using 3D coordinates and three angles to achieve the assembly of the garment and human body models.

[0049] S4. Establishment of a mathematical model of motion trajectory: Through the client system, collect human motion trajectory information under various actions and establish a mathematical model of motion trajectory.

[0050] S5. Construction of Personal Fitting Effect for Clothing: This specifically includes: Establishing a model resource library: Through the aforementioned steps, constructing and storing standardized model resources including "live user" models and motion trajectory mathematical models; Establishing a scene resource database: Pre-storing dynamic videos containing various scenes to provide rich visual backgrounds for the fitting effect; Integrating a rendering engine: Storing software with the following functions, enabling it to call the above models and scene data in real time, and to perform actions such as replacing the "live user" with the person in the video, ensuring that the "live user's" movements are consistent with the movements of the person in the original video, adjusting the video to normal, and then sending the video back to the client, as well as parsing and executing user-issued instructions to adjust clothing size at any time; thereby completing the construction of the clothing fitting system.

[0051] A clothing selection method based on a clothing try-on system includes the following steps:

[0052] A1. System Login: In the client system, users register their personal information through the login unit and then log in to the entire system. During personal information registration, the backend control system receives the personal registration information and submits it to the information storage system for storage.

[0053] A2. Supplementing Personal Information: In the client system, through the settings unit, customers can input detailed 3D human body data, including their headshot (front and back), height, weight, voice, and upright side profile. They can also upload photos of their body shape. The settings unit will use its built-in software to analyze and supplement the user's 3D data from the mathematical model of motion trajectory stored in the clothing try-on system—the "living human body" model. This completes the user's personal body information and builds a "living user" model. The backend management system will receive this "living user" model and submit it to the information storage system for storage.

[0054] A3. Search for clothing information: In the client system, you can issue a clothing search command through the search command unit. The backend management system will search for the clothing you want to buy through the Internet and save it to the shopping cart. The "I want to try it on" option in the try-on unit will pop up automatically.

[0055] A4. One-Click Try-On: In the client system, clicking the "Try On" command in the try-on command unit will transfer the clothing stored in the shopping cart to the clothing try-on system in the backend control system. The clothing try-on system will extract the "live user" model from the storage system, put the selected clothing on the "live user" model using the software built into the clothing try-on system, and then replace the "live user" model wearing the selected clothing with the person in various videos stored in the clothing try-on system beforehand. The software will ensure that the actions of the "live user" in the replaced video are consistent with the actions of the person in the original video. Finally, the adjusted video will be sent back to the client. At the same time, the size of the clothing can be changed by using the "+" and "-" commands in the try-on command unit. Clicking "+" sends a command to increase the size of the clothing to be tried on; clicking "-" sends a command to decrease the size of the clothing to be tried on.

[0056] A5. Purchase and Forward: For clothing that you are satisfied with after trying it on, you can purchase the clothing by placing an order through the "Purchase" option in the "Try On" section; or you can continue to select and try on other clothing by using the "Abandon" option in the "Try On" section; at the same time, you can extract and save the personal try-on effect of the clothing or send it to other software platforms through the "Forward" option in the "Try On" section.

[0057] Specific Implementation Example 1: Enhancing the Happiness of Shopping

[0058] Ms. Zhang, who works in another city, missed her mother. First, she used the system's client app to create and store a personalized "live user" model of her mother based on her photo, height, and weight. Then, she searched for a coat she liked, added it to her cart, and clicked "Try it on." The system immediately retrieved her mother's model and generated a realistic video of her mother casually strolling in a park wearing the coat. Her mother's smile in the video was so natural, and the coat fit perfectly. Using the same coat, she then generated another realistic video of her mother walking the runway like a model. Ms. Zhang was instantly moved to tears. She forwarded both videos to her family WeChat group. Her parents were overjoyed after watching the videos, unanimously agreeing that the size was perfect and the style was beautiful. Seeing their happy expressions, Ms. Zhang felt much happier and immediately placed an order.

[0059] Specific Implementation Example 2: Enhancing Marital Happiness

[0060] Mr. Zhang was extremely busy with work. His wife's birthday was approaching, and he noticed a new female colleague wearing a particularly beautiful outfit. First, he used the system's client application to create and store a personalized "live user" model of his wife based on her photo, height, and weight. Then, he searched for the outfit, added it to his cart, and clicked "Try it on." The system immediately retrieved his wife's model and generated a lifelike video of her walking the runway like a model. In the video, his wife looked so natural, and the outfit fit perfectly. He then forwarded the video to the family WeChat group. His wife saw it and was overjoyed, tears streaming down her face. His daughter, after watching the video, also thought the size was perfect and the style was beautiful, praising her father's good taste. Mr. Zhang immediately placed an order.

[0061] Specific Implementation Example 3: Enhancing Socialized Outfit Decisions

[0062] Ms. Li needed to choose a dress for an upcoming wedding. She tried on three dresses in the system, each generating a dynamic try-on video of her in the evening setting. Her smile in the videos was so natural, and the dresses looked so elegant. Instead of immediately making a purchase, she shared all three videos to her WeChat Moments with the caption, "Need help! Which one looks best?" Her friends provided a wealth of high-quality feedback based on the realistic videos. Ms. Li then made her choice based on this feedback and completed the purchase.

[0063] Specific Implementation Example 4: Enhancing the Family Collaborative Shopping Experience

[0064] Mr. Zhang needed to buy a coat for his daughter who was studying in another city. First, he created and stored a personalized "live user" model of his daughter in the system's client application, based on her photo, height, and weight data. Then, he searched for a coat he liked, added it to his cart, and clicked "Try it on." The system immediately retrieved his daughter's model and generated a realistic video of her walking in the coat on campus. In the video, his daughter's smile was so natural, and the coat fit perfectly. Mr. Zhang forwarded the video to his family WeChat group. After watching the video, his wife and daughter unanimously agreed that the size was right and the style was beautiful. Mr. Zhang then placed the order, completing this efficient and satisfying remote family shopping experience.

[0065] Specific Implementation Example 5: Enhancing and Activating the End-of-Season Market

[0066] A clothing online store was clearing out a batch of down jackets out of season. Ms. Wang, a consumer, browsed the product and was immediately attracted by the style and the attractive price. She used the system's "one-click try-on" function. The system recognized that the down jacket lacked 3D data and automatically activated the data supplementation algorithm. Based on the image and size, it generated a suitable 3D model and immediately assembled Ms. Wang's own "live user" model with the down jacket model, generating a try-on video of her in a winter street scene. In the video, her smile was so natural, and the down jacket fit perfectly. Ms. Wang saw the fit and look good through the video and immediately put an order without any doubts.

[0067] The above embodiments one to five, from different perspectives, verify and demonstrate the beneficial effects of the present invention in improving shopping happiness, enhancing family collaborative shopping experience, improving socialized dressing decisions, activating the clearance market, and improving marital happiness.

[0068] The above is an exemplary description of the invention. Obviously, the specific implementation of the invention is not limited to the above-described manner. Any non-substantial improvement made using the inventive concept and technical solution of the invention, or the direct application of the inventive concept and technical solution to other situations without modification, is within the protection scope of the invention.

Claims

1. A clothing selection method based on a clothing try-on system, characterized in that, Includes the following steps: A1. System Login: In the client system, users register their personal information and log in to the entire system through the login unit. During personal information registration, the backend control system receives the personal registration information and submits it to the information storage system for storage. A2. Supplementing Personal Information: In the client system, through the settings unit, customers can input detailed 3D human body data, including their headshot, height, weight, voice, and upright side profile; or upload a photo of their body. The settings unit uses its built-in software to analyze and supplement the user's 3D data using the mathematical model of motion trajectory stored in the clothing try-on system—the "living human body" model. This completes the user's personal body information and constructs a "living user" model. The backend management system receives the "living user" model and submits it to the information storage system for storage. A3. Search for clothing information: In the client system, the clothing search command is issued through the search command unit. The back-end management system searches for the clothing you want to buy through the Internet and saves it to the shopping cart. The client system will automatically pop up the "I want to try it on" option in the try-on unit. A4. One-Click Try-On: In the client system, clicking the "Try On" command in the try-on unit transfers the clothing stored in the shopping cart to the clothing try-on system in the backend control system. The clothing try-on system extracts the "live user" model from the storage system, puts the selected clothing on the "live user" model using its built-in software, and then replaces the "live user" model wearing the selected clothing with the person in various videos stored in the clothing try-on system beforehand. The software ensures that the actions of the "live user" in the replaced video are consistent with the actions of the person in the original video. Finally, the adjusted video is sent back to the client. Simultaneously, the "+" and "-" commands in the try-on command unit can be used to change the size of the clothing being tried on. Clicking "+" increases the size of the clothing, and clicking "-" decreases the size. A5. Purchase and Forward: For clothing selected and tried on to your satisfaction, you can purchase the clothing by placing an order through the "Purchase" option in the "Try On" section; or you can continue to select and try on other clothing by using the "Abandon" option in the "Try On" section; at the same time, you can extract and save the personal try-on effect of the clothing or send it to other software platforms through the "Forward" option in the "Try On" section.

2. A clothing selection system based on a clothing try-on system, characterized in that, include: The back-end control system includes a clothing try-on system and a back-end management system. Information storage system; Used to store various input information from the client system and operational information from the backend management system; The client system allows users to directly operate the clothing try-on system in the background, enabling one-click try-on and obtaining clear, intuitive, and realistic try-on videos, effectively improving the user experience.

3. A clothing selection system based on a clothing try-on system according to claim 2, characterized in that, The method for constructing the clothing try-on system includes the following steps: S1. Construction of the 3D Human Body Model: This involves extracting and constructing a 3D human body model from the personal 3D data input into the client system. The extraction of personal 3D data is based on standards GB10000-1988 "Anthropometric Dimensions of Chinese Adults" and GB / T26158-2010 "Anthropometric Dimensions of Chinese Minors." The 3D human body model is constructed using CATIA software and CATIA hybrid modeling technology. In the client system, facial photos are extracted through photography or scanning. During the 3D human body model construction process, AI technology is used to attach these facial photos to the 3D human body model, giving the constructed 3D human body model a realistic facial effect. S2. Construction of 3D Clothing Models: Based on 3D clothing data information found through internet searches, supplemented by size data, images, and colors, and using image data analysis software, 3D clothing data is obtained to construct various 3D clothing models; through the searched size data, images, and colors, and through parametric clothing modeling or single-view 3D reconstruction technology, 3D clothing data is obtained to correct or supplement the searched 3D clothing data information, constructing various 3D clothing models with appearance rendering effects; S3. Assembly of 3D models of human body and clothing: Assemble the 3D models of various clothing with the 3D model of human body to create a 3D model of human body with various clothing attached; The construction of the 3D model of human body with various clothing attached is carried out using CATIA, Pro / E or 3ds Max software. Constraints are applied to the 3D model of clothing and the 3D model of human body using 3D coordinates and three angles to realize the assembly of the 3D model of clothing and the 3D model of human body. S4. Establishment of a mathematical model of motion trajectory: Through the client system, collect human motion trajectory information under various actions and establish a mathematical model of motion trajectory; S5. Construction of Personal Fitting Effect for Clothing: This specifically includes: Establishing a model resource library: Through the aforementioned steps, constructing and storing standardized model resources including "live user" models and motion trajectory mathematical models; Establishing a scene resource database: Pre-storing dynamic videos containing various scenes to provide rich visual backgrounds for the fitting effect; Integrating a rendering engine: Storing software with the following functions, enabling it to call the above models and scene data in real time, and to perform actions such as replacing the "live user" with the person in the video, ensuring that the "live user's" movements are consistent with the movements of the person in the original video, adjusting the video to normal, and then sending the video back to the client, as well as parsing and executing user-issued instructions to adjust clothing size at any time; thereby completing the construction of the clothing fitting system.

4. A clothing selection system based on a clothing try-on system according to claim 2, characterized in that, The client system is used for inputting and outputting customer personal information, including customer 3D human body data, receiving human motion trajectory information under various actions, clothing try-on instructions, and clothing purchase operation instructions; the client system includes: Login unit; The setting unit is used to input the customer's personal three-dimensional human body data information, including the customer's head image, height, weight, voice, and upright side profile. The search command unit is used to receive the input search instructions and transmit them to the back-end management system. The back-end management system then retrieves various clothing information from the Internet clothing trading platform via the Internet. The try-on command unit receives input try-on instructions and transmits them to the back-end management system. The back-end management system then transmits various clothing information retrieved from the Internet to the clothing try-on system for trying on, and presents try-on effect videos of various clothing in different poses using individual 3D models. At the same time, it receives input forwarding and purchase instructions, and through the back-end management system, it can extract and forward the try-on effect, including video or image information, and place orders for the clothing.

5. A clothing selection system based on a clothing try-on system according to claim 4, characterized in that, After receiving a try-on instruction, the background management system will transmit various information about the garment retrieved via the Internet, including garment execution standards, 3D data information, images, dimensions, and colors, to the garment try-on system for online try-on. If the 3D data information of the garment is missing, the garment try-on system can analyze the retrieved images and dimensions of the garment, supplement the missing 3D data, and then conduct an online try-on.

6. A clothing selection system based on a clothing try-on system according to claim 4, characterized in that, No dedicated hardware (such as motion-sensing cameras, 3D smart TVs, 3D glasses, etc.) is required. Users can operate directly through the client system, anytime, anywhere, and online throughout the entire process. The backend clothing try-on system enables simple, efficient, and convenient one-click try-on, providing clear, intuitive, and realistic multi-scene try-on videos. These videos can be shared on other social media platforms to showcase personal style and receive compliments from friends. Users can also purchase clothing for their parents, making up for the inability to be with them. This upgrades personal shopping into an interactive and experiential social decision-making process, greatly improving satisfaction and decision accuracy during the try-on process. It reduces the hassle of returns and exchanges, providing users with a simple, efficient, convenient, and enjoyable clothing selection experience, effectively enhancing the user experience.

7. A clothing selection system based on a clothing try-on system according to claim 2, characterized in that, The back-end management system is used to receive information instructions from the client system and manage the information, while also searching and processing information via the Internet, connecting to the online clothing trading platform, and outputting and feeding back information. The clothing try-on system is used to combine human body 3D data information input from the client system, human body movement trajectory information under various actions, and clothing 3D data information obtained through Internet search and processing to construct the try-on effect of various clothing personal 3D models under various actions, and manage it through the back-end management system.