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Rapid and automatic 3D body measurement system based on a GPU-Steger line detector.
Applied Optics
|July 28, 2016
Summary
This study introduces a fast, automated 3D human body scanning system. It uses a GPU-accelerated line detector for efficient, accurate surface measurement, even on complex textures.
Area of Science:
- Computer Vision
- 3D Scanning Technology
- Biomedical Engineering
Background:
- Accurate 3D human body shape acquisition is crucial for various applications.
- Existing methods often face challenges with complex surfaces and computational demands.
Purpose of the Study:
- To develop a rapid and automatic system for 3D human body shape measurement.
- To enhance efficiency and accuracy in capturing detailed body surface data.
Main Methods:
- Implementation of a flexible calibration method to simplify system setup.
- Development of a GPU-accelerated Steger line detector for subpixel laser pattern center detection.
- Utilizing graphics processing units (GPUs) to significantly reduce computation time.
Main Results:
- The GPU-Steger line detector achieves over 110x speed improvement compared to CPU-based methods.
- The proposed system demonstrates effective measurement of human body surfaces with varying reflectance, including hair, skin, and textured clothing.
- Experimental results validate the system's performance and accuracy.
Conclusions:
- The developed system offers a significant advancement in rapid and automatic 3D human body scanning.
- The GPU-accelerated approach overcomes computational limitations, enabling efficient data acquisition.
- This technology is suitable for applications requiring detailed 3D surface reconstruction of the human body.
