Disparity Selective Stereo Matching Using Correlation Confidence Measure

Test code to reproduce the results of the paper.This work presents a robust stereo matching method for occluded regions. First, we generate cost volumes using the CEN-SUS transform and the scale-invariant feature transform(SIFT). Then, label-based cost volumes are aggregated using adaptive support weight and SLIC scheme from generated two cost volumes. In order to obtain optimal disparity by two label-based cost volumes, we select the disparity corresponding to high confidence similarity of CENSUS or SIFT with minimum cost point.