3D Virtual Garment Try-On Simulation System
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Solution Overview
Problem
Current online clothing retailing faces high return rates due to inaccurate size selection, as existing methods rely on limited standard measurements or 2D visualizations, lacking a realistic simulation of how garments fit and drape on individual bodies.
Innovation Solution
A 3D virtual garment try-on simulation system that creates a digital model of a consumer's body from their measurements extracted from domestic images, allowing for realistic simulation of garment fitting and draping using physics-based calculations, without requiring expensive equipment like body scanners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D visualizations or standard measurements are used for online garment try-on, then the system is simple and easy to operate, but the accuracy of size selection and realism of fit simulation are poor
Solution Approach 1:
The patent creates a digital 3D copy of the consumer's body by mapping 2D image measurements onto a parameterized 3D body model. This digital twin enables accurate virtual garment try-on without requiring expensive physical body scanners, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent replaces mechanical body scanning equipment with a software-based system that uses standard 2D digital camera images. By extracting measurements from 2D images and transforming them into 3D body parameters through mathematical algorithms, the system achieves accurate fit simulation without complex mechanical devices
2Reliability
If physics-based 3D simulation is implemented, then the realism of garment draping and fit visualization is improved, but the computational requirements and processing time increase
Solution Approach 1:
The patent pre-computes and stores a library of 3D body models with varying parameters (size, shape, proportions) before runtime. When a user tries on garments, the system selects and adjusts from this pre-prepared library rather than generating 3D models in real-time, significantly reducing computational energy requirements while maintaining simulation realism
Solution Approach 2:
The patent uses a parameterized 3D body model where physical dimensions are controlled by adjustable parameters (height, weight, body composition ratios). By changing these parameters rather than performing full 3D reconstruction, the system achieves realistic garment simulation with reduced computational cost
3Ease of operation
If consumer images are processed to extract body measurements, then the system becomes accessible and easy to use at home, but the accuracy of measurement extraction from 2D images is limited
Solution Approach 1:
The patent introduces a parameterized 3D body model as an intermediary between 2D consumer images and the final measurement data. The system extracts 2D measurements from images, maps them to 3D model parameters through mathematical relationships, and generates accurate body measurements. This intermediary transformation process resolves the contradiction by enabling home-based operation while maintaining measurement precision
Solution Approach 2:
The patent transforms 2D image measurements into 3D body parameters through mathematical projection and reconstruction algorithms. By adding the third dimension through parameterized modeling, the system overcomes the inherent limitations of 2D measurement extraction while keeping the input method simple (standard digital photos)
Data Source
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AI summary
A method of creating a three dimensional model of a unique body is provided, said method comprising obtaining a three dimensional model of a standard body and obtaining a two dimensional image of the unique body that is to be modelled. The method further comprises determining a location of the unique body in said image and determining a position of the unique body in said image, using the determined location and position data to extract a two dimensional outline of the unique body from the two dimensional image. The method further comprises selecting a measurement for which a value is to be calculated for the unique body, calculating a value of said selected measurement from the extracted two dimensional outline, using said calculated value of the selected measurement to update a corresponding measurement on the three dimensional model of a standard body, and outputting the updated three dimensional model of a standard body as a three dimensional model of the unique body.