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Stereo Matching Algorithm Based on Line Constraint and Reliability Space
안효위(Xiao-Wei An),한영준(Young-Joon Han),한헌수(Hern-Soo Hahn) 한국컴퓨터정보학회 2011 한국컴퓨터정보학회 학술발표논문집 Vol.19 No.1
A new method is proposed for stereo vision where solution to disparity map is presented in terms of Line constraint and Reliability space -- the first constraint proposes a progressive framework for stereo matching which applies local area pixel-values from corresponding lines in the left and right image pairs. The second states that reliability space based on corresponding points records the disparity and then we are able to apply the median filter in order to reduce the noises which occur in the process. A coarse to fine result is presented after the median filtering, which improves the final result qualitatively. Experiment is evaluated by rectified stereo matching images pairs from Middlebury datasets and has proved that those two adopted strategies yield good matching quantitative results in terms of fast running speed.