A Stereo Matching Algorithm Based on Outline-Assisted Dynamic Programming

In the stereo vision researches, global matching algorithms are widely used in the preference of high matching accuracy. This paper presents a new stereo matching algorithm based on global matching philosophy. The proposed method, which is called 3D dynamic programming-oriented matching method with filter-box acceleration, utilizes the edge information obtained by wavelet transform from the stereo images got from Middlebury University. We then compared the computational cost and matching accuracy among by the new method and other conventional stereo matching algorithms. We show that it gets advantages beyond those results. Finally, we make a conclusion about current works and look forward to feature jobs.