Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm

In this paper, we present a stereo matching algorithm using arbitrarily-shaped windows and a local optimization method called Go-light. The disparity map comes from a five-pixel arbitrarily-shaped window matching and a regular window based matching. It is then optimized by the Go-light optimization method, in which an outlier disparity value is replaced by the average of its surrounding ones when certain constraints are met. Experiments show that the accuracy of our algorithm is comparable to some of the state-of-the-art stereo correspondence algorithms on the Middlebury stereo data.