Accurate Dynamic 3D Sensing With Fourier-Assisted Phase Shifting

Abstract

Phase shifting profilometry (PSP) and Fourier transform profilometry (FTP) are two well-known fringe analysis methods for 3D sensing. PSP offers high accuracy but requires multiple images; FTP uses a single image but is limited in its accuracy. In this paper, we propose a novel Fourier-assisted phase shifting (FAPS) method for accurate dynamic 3D sensing. Our key observation is that the motion vulnerability of multi-shot PSP can be overcome through single-shot FTP, while the high accuracy of PSP is preserved. Moreover, to solve the phase ambiguity of complex scenes without additional images, we propose an efficient parallel spatial unwrapping strategy that embeds a sparse set of markers in the fringe patterns. Our dynamic 3D sensing system based on the above principles demonstrates superior performance over previous structured light techniques, including PSP, FTP, and Kinect.