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A stereo algorithm using edge-based orthogonal dynamic programming

A stereo matching technique is presented in this paper, which is based on orthogonal dynamic programming (DP) and edge information. First, a global energy function considering the discontinuity of disparity and occlusions is introduced. Then, an orthogonal DP strategy within the scanline optimization (SO) framework is utilized, performing both along horizontal and vertical scanlines to improve inter-scanline consistency. Finally, median filtering is applied to further remove false matches. Compared to existing DP-based approaches, experimental results for the standard datasets demonstrate that the algorithm reduces the typical "streaking" artifacts effectively and preserves disparity discontinuities simultaneously.