Simulation-Based Investigation On Optical 3d Surface Measurement With Composite Spectral Patterns

This paper presents the design and simulation of a single-shot optical 3D sensor based on multispectral pattern projection and a stereo-vision setup of two multispectral snapshot cameras. The performances of various combinations of available multispectral cameras, spatial light patterns, and 3D reconstruction algorithms as well as the geometric arrangements of the stereo-vision camera setup are simulated and analyzed. This simulation-based investigation delivers two optimized combinations of sensor components in terms of hardware and algorithm as orientations for practical sensor development in future, and an appropriate arrangement of the stereo-vision setup is determined. Moreover, the influences of sensor noise on 3D reconstruction are also estimated.