A robust and accurate structured light pattern for dynamic 3D reconstruction

A new method based on single shot using color coded image sequence for 3D reconstruction is proposed. The previous spatial neighborhood coding methods often need to determine the center of the pattern, but inaccurate positioning of pattern feature points will bring errors to 3D reconstruction. In this paper, a color-coded pattern is designed as two opposite triangular patterns to directly establish the center point of the pattern, thus avoiding the error caused by the inaccurate positioning of the center point after the pattern distortion. We designed a corner detector for our feature point detection, it is efficient and accurate. The pattern is coded in four colors of red, blue, green and pale yellow. We use a quaternary sixth order primitive polynomial to generate the pseudorandom sequence, which is then regenerated into the M-array. The final size of the code pattern is 65×63, and the unique code window size is 2×3. Experiments show that the 3D reconstruction owns high measurement precision and the decoding has strong robustness.