A dense stereo matching by iterated dynamic programming with using Gabor filters

In this paper a method for solving stereo matching problem is presented. It is based on minimization of some energy functional by iterated dynamic programming. The solution such task, where presents of occlusions, weakly or periodic textured regions provides some ambiguity for optimization process, propagating extra information i.e. ground control points (GCPs) in to the matching process by using oriented spatial filters allow us to obtain more accurate dense disparity maps. By employing iterated dynamic programming as optimization technique that performs optimization both along and across scan lines allows a typical inter scan-line inconsistency problem to be solved. Consequently, incorporating GCP in to the optimization process improves its stability end efficiency.