Efficient Surface Reconstruction via Helmholtz Reciprocity with Two Image Pairs

Surface reconstruction method via Helmholtz reciprocity with single image pair has low computational efficiency,and its reconstructed surface appeared layer by layer along scanning lines.We present an efficient surface reconstruction approach via Helmholtz reciprocity with two image pairs.The fundamental idea of this method is to segment the matching epipolar line of one image pair by using the matched epipolar line of the other image pair alternately,which transfers the optimal matching of a whole epipolar line into that of its sub-segments.Dynamic programming without the requirement of endpoint matching is introduced and applied to these sub-segments to get matching and reconstruct 3D surface points.Simulation experimental results show that,compared to the surface reconstruction algorithms with a single image pair,the reconstruction speed of our algorithm increases one order of magnitude and the surface display quality is better since the searching range of dynamic programming on sub-segments is shortened considerably and more surface positions are recovered by using two image pairs.