Single-shot dense 3D reconstruction using colored structured light is a difficult problem due to the undesired effects of ambient lighting, object albedo, non-equal channel gains, and channel cross-talk. We propose a novel single-shot dense 3D reconstruction using colored structured light. Our method combines the self-equalizing De Bruijn sequence, scale-space analysis, and bandpass complex Hilbert filters to achieve insensitivity to ambient lighting, object albedo, and non-equal channel gains. The proposed method reconstructs about 85% of points compared to time-multiplexing structured light strategies and the decoding error in the recovered projector coordinate is less than one projector pixel for about 90% of reconstructed points.

A novel structured light method for color 3D surface profilometry is proposed. The proposed method does not require color calibration of a camera-projector pair and may be used for reconstruction of both dynamic and static scenes. The method uses a structured light pattern that is a combination of a De Bruijn color sequence and of a sinusoidal fringe. For dynamic scenes a Hessian ridge detector and a Gaussian mixture model are combined to extract stripe centers and to identify color. Stripes are then uniquely identified using dynamic programming based on the Smith-Waterman algorithm and a De Bruijn window property. For static scenes phase-shifting and De Bruijn window property are combined to obtain a high accuracy reconstruction. We have tested the proposed method on multiple objects with challenging surfaces and different albedos that demonstrate usability and robustness of the method.