High-quality fringe pattern generation using binary pattern optimization based on a novel objective function

The recently proposed optimized dithering techniques can improve measurement quality. However, the objective function in these optimization methods just qualifies the global similarity of the pattern while the global optimization methods ignore the influences of local structure. To complete the phase-based optimization for high-quality three-dimension (3D) shape measurement, this paper presents a novel objective function which consists of global intensity term and local texture term, as well as a novel framework. Then, both simulation and experimental results show that the proposed method is able to improve quality and speed of 3D reconstruction for optimized dithering techniques.