Adaptive-resolution-based high-resolution indoor 3D perceiving in fringe projection profilometry

Fringe projection profilometry (FPP) is one of the most widely used optical three-dimensional (3D) perceiving techniques. However, in the realm of indoor 3D perceiving, achieving high-resolution data proves challenging due to the inherent trade-off between sampling resolution and measurement scale. This paper introduces an adaptive-resolution-based method to address this challenge. Specifically, the approach leverages the super-resolution reconstruction technique to enhance the resolution of captured fringe patterns, where an end-to-end fringe pattern super-resolution network (FPSRNet) is constructed to adaptively achieve different super-resolution values. The desired high-resolution 3D results can be reconstructed from these new patterns. Experimental results verify the effectiveness of the proposed method in indoor 3D perceiving.