3D Avatar Creation Using Range Camera Depth Scanning
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Solution Overview
Problem
Current systems lack an effective method for 3D virtual try-on of apparel on avatars, failing to accurately simulate garment fit and size, which hinders consumer confidence and retailer insights into garment performance on diverse body types.
Innovation Solution
A system that uses a range camera to create a 3D avatar of a consumer's body, receives garment specifications, and drapes virtual garments on the avatar based on fabric constants and grade rules, allowing for online virtual try-on and providing quantitative and visual data on fit quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a range camera is used to create a 3D avatar, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent creates a digital 3D avatar copy of the consumer's body using range camera scanning. This virtual replica captures precise body measurements and geometry without requiring complex physical measurement tools, resolving the contradiction by using optical copying to achieve high measurement precision while keeping the system relatively simple.
Solution Approach 2:
The patent replaces traditional mechanical measurement systems with optical/range camera-based scanning. This substitution eliminates the need for physical measuring tapes and manual measurement processes, achieving automated high-precision body scanning while reducing mechanical complexity.
2Manufacturing precision
If virtual garments are draped on 3D avatars with fabric constants, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent uses fabric constants (physical parameters of the material) to control how virtual garments drape and conform to the 3D avatar body. By adjusting these material parameters in the simulation, the system achieves realistic and precise garment fit representation without requiring complex physical prototypes or multiple measurement iterations.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating fabric constants and creating graded digital patterns before the actual virtual try-on. This preparation work enables the draping simulation to run efficiently and accurately during the consumer interaction, achieving high manufacturing precision while managing system complexity through advance computation.
3Adaptability or versatility
If graded digital patterns are created for multiple sizes, then adaptability is improved, but loss of time increases
Solution Approach 1:
The patent creates graded digital patterns for multiple sizes in advance, before the consumer tries on the garment. This preliminary preparation of size variations allows the system to quickly adapt to different body types and sizes during the virtual try-on process, eliminating the need for real-time pattern generation and reducing time loss.
Solution Approach 2:
The patent develops a universal grading system that can generate multiple size variations from a base pattern using standardized grade rules. This multi-functional approach allows the same pattern framework to serve multiple size requirements, improving adaptability across different body types while avoiding the need to create each size pattern individually from scratch.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables consumers to assess garment fit accurately, retailers to understand garment performance on various bodies, and facilitates predictive recommendations, improving online shopping experiences and product development.
Implementation Method 1
a range camera capable of capturing at least a first set of depth images of the body
Data Source
AI summary
A method and apparatus is disclosed for scanning a body. The system comprises a processor and a range camera capable of capturing at least a first set of depth images of the body rotated to 0 degrees and at least a second set of depth images of the body rotated to x degrees, wherein x is >0 degrees, and x<360 degrees. A first set of computer instructions executable on the processor is capable of calculating a first set of three dimensional points from the first set of depth images and a second set of three dimensional points from the second set of depth images. A second set of computer instructions executable on the processor is capable of rotating and translating the first and second set of three dimensional points into a final set of three dimensional points. A third set of computer instructions executable on the processor is capable of creating a three dimensional mesh from the final set of three dimensional points.