3D Body Scanning for Virtual Try-On Fit Accuracy
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Solution Overview
Problem
Current methods for virtual try-on of apparel lack accuracy and efficiency in determining the best garment size and fit on a consumer's body, as they rely on manual measurements and do not provide real-time feedback on the fit quality, limiting retailers' ability to offer tailored recommendations and consumers' ability to assess garment fit effectively.
Innovation Solution
A system utilizing range cameras and a rotating platform to capture 3D body scans, creating an avatar and generating virtual garments that can be draped on the avatar, allowing for real-time visualization and analysis of fit quality, with data collected for predictive sizing and personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurements are used for virtual try-on, then the system is simple to operate, but the measurement precision and fit assessment accuracy are insufficient
Solution Approach 1:
The patent replaces manual mechanical measurements with automated optical scanning systems (range cameras, structured light scanners) that capture 3D body geometry. This substitution dramatically improves measurement precision while the automated nature of the system maintains ease of operation, as the scanning process is performed automatically without requiring manual measurement skills from users.
Solution Approach 2:
The system creates a digital 3D copy (virtual avatar) of the consumer's body through scanning. This digital replica enables precise fit assessment by allowing virtual garments to be draped and analyzed on the avatar, providing accurate fit predictions without requiring physical try-on or manual measurements.
2Measurement precision
If real-time fit feedback is implemented, then the fit assessment accuracy improves, but the device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing the 3D scan data to create a standardized virtual avatar model before the actual fit assessment. Virtual garments are pre-draped on reference avatars to establish baseline fit criteria. These preliminary preparations enable rapid real-time feedback during the actual try-on process without requiring complex real-time calculations during garment assessment.
Solution Approach 2:
The patent introduces a virtual avatar as an intermediary between the physical body scan and the fit assessment process. The avatar serves as a simplified digital representation that mediates the complex interaction between garment geometry and body shape, enabling real-time fit feedback through automated draping simulations while reducing the computational complexity of direct physical-garment analysis.
3Measurement precision
If 3D body scanning is used, then the measurement precision and avatar creation accuracy improve, but the scanning time and productivity are reduced
Solution Approach 1:
The scanning system employs periodic action through rapid sequential capture of multiple depth images at different rotation angles. Instead of continuous scanning, the system takes discrete periodic snapshots of the body as it rotates on the platform, which reduces the overall scanning time while maintaining high measurement precision through the accumulation of multiple angular views.
Solution Approach 2:
The system implements dynamics by allowing the body to rotate automatically on a motorized platform during scanning, rather than requiring static positioning. This dynamic scanning approach captures the complete body geometry through rotation, significantly reducing scanning time compared to manual repositioning, while the automated image registration process maintains high measurement accuracy across all angular positions.
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 accurate virtual try-on, providing consumers with precise fit assessments and retailers with data-driven insights for improved product development and customer recommendations, enhancing the online shopping experience and sales strategies.
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 system for scanning a body to create scan data comprises a processor, 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 set of computer instructions are executable on a processor capable of creating biometrics based on extracted body measurement from the body scan.