Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method

To accurately reconstruct the three-dimensional (3D) surface of dynamic objects, we proposed a wrapped phase extraction method for spatiotemporal analysis based on 3D wavelet transform (WT). Our uses 2D spatial fringe image combined with time dimension and forms sequence. The encoded sequence’s information was extracted by WT complex Morlet wavelet, improved extraction’s accuracy using characteristics multi-scale WT, then reconstructed measured object unwrapping height transformation. simulation experiment results show that our can further filter noise in dimension, its is better than one- (1D) two-dimensional (2D) Fourier because spherical crown’s RMSE value does not exceed 0.25 PVE less 0.95. be applied to reconstruction real human thoracic abdominal surface, which fluctuates slowly respiration movement, verifying effectiveness.