Sparse disparity map estimation on stereo images

In this work we are presenting a sparse disparity map extraction procedure based on block matching approach. The blocks are taken around the edge locations in the reference image and searched in the target image by evaluating matching costs for each search location. For this block matching approach, the performances of cost calculation methods, such as Sum of Absolute Differences (SAD), Herman Weyl´s Discrepancy Measure (HWDM) and Adaptive Support Windows (ASW), are investigated. The methods are compared with each other according to their performance in estimation of disparity and maximum disparity values.