Synthetic shape reconstruction combined with the FT-based method in photometric stereo

Abstract

A novel method of synthetic shape reconstruction from photometric stereo data combined with the FF-based method is presented, aiming at obtaining more accurate shape. First, a shape is reconstructed from color images using a modified FF-based algorithm. Then, with the shape as initial value, a more accurate shape is synthetically reconstructed based on the Jacobi iterative method. The synthesis is realized as follows: the reconstruction is sequentially made in each of small image subareas, using the depths in the neighboring subareas as boundary values, which is iterated until the overall shape converges. The division to image subareas enables us to synthesize large shapes. © 2010 Springer-Verlag.