3D Body Measurement Using Apparel Boundary Shift Correction
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Solution Overview
Problem
Existing body-shaped data measuring technologies are not user-friendly for general consumers to use at home, lacking real-time detection capabilities.
Innovation Solution
A method and system that extracts apparel feature points and boundaries from images, corrects these points relative to the boundary, and projects them onto a three-dimensional model to obtain body shape measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time detection is implemented using general consumer electronic products, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent introduces an intermediary processing system that includes a feature extraction module, image segmentation module, and processing module. This intermediary system mediates between the simple consumer camera input and the complex 3D body measurement output, handling the computational tasks of feature point extraction, boundary segmentation, shift correction, and projection to achieve both ease of use and measurement precision.
Solution Approach 2:
The patent replaces complex mechanical measurement devices with an image processing-based system. Instead of using physical measuring tools or specialized equipment, the system uses computer vision technology to extract features from images, calculate shift values, and project points onto 3D models to obtain body shape data, thereby simplifying operation while maintaining precision.
2Measurement precision
If shift correction is performed on apparel feature points, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the processing system into distinct functional modules: a feature extraction module for obtaining apparel feature points, an image segmentation module for obtaining apparel boundaries, and a processing module for calculating shift values and performing corrections. This segmentation allows each module to specialize in specific tasks, making the overall complex process more manageable and maintainable while improving measurement precision through systematic correction.
Data Source
AI summary
A measuring method and system for body-shaped data are provided. The measuring method comprises: performing a feature extraction on an apparel image to obtain a plurality of apparel feature points by a feature positioning module; performing a contour extraction on the apparel image to obtain an apparel boundary by an image segmentation module; calculating at least one shift value of the apparel feature points relative to the apparel boundary based on the apparel feature points and the apparel boundary by a processing module; correcting at least one of the apparel feature points according to the at least one shift value by the processing module, and projecting the corrected at least one of the apparel feature points to a three-dimensional model and obtaining at least one body-shaped data according to the apparel feature points on the three-dimensional model by the processing module.