Stereo matching using graph cuts: A 3D-Hough transformation approach

Based on the assumption that the scene structure consists of a set of planar surface patches and the algorithm of planar graph cuts, a novel stereo matching algorithm is presented in this paper using 3D-Hough transformation. Unlike current stereo matching algorithm, our method provides a quite fast...

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Bibliographic Details
Published in2012 12th International Conference on Control Automation Robotics & Vision (ICARCV) pp. 1160 - 1164
Main Authors Wei Wu, Haoqian Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
Accuracy
Computer vision
Conferences
Image color analysis
Image segmentation
Robustness
Stereo vision
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Summary:Based on the assumption that the scene structure consists of a set of planar surface patches and the algorithm of planar graph cuts, a novel stereo matching algorithm is presented in this paper using 3D-Hough transformation. Unlike current stereo matching algorithm, our method provides a quite fast and robust plane fitting resolution that can enhance the reliability of each disparity model. Experimental results demonstrate the effectiveness of the proposed method in obtaining precise and smooth disparity image.
ISBN:9781467318716
146731871X
DOI:10.1109/ICARCV.2012.6485321