Rapid and automatic 3D body measurement system based on a GPU-Steger line detector

Abstract

This paper proposes a rapid and automatic measurement system to acquire a 3D shape of a human body. A flexible calibration method was developed to decrease the complexity in system calibration. To reduce the computation cost, a GPU-Steger line detector was proposed to more rapidly detect the center of the laser pattern and at subpixel level. The processing time of line detection is significantly shortened by the GPU-Steger line detector, which can be over 110 times faster than that by CPU. The key technologies are introduced, and the experimental results are presented in this paper to illustrate the performance of the proposed system. The system can be used to measure human body surfaces with nonuniform reflectance such as hair, skin, and clothes with rich texture.