Abstract
Local stereo correspondence is usually not satisfactory because neither big window nor small window based methods can accurately match densely-textured and textureless regions at the same time. In this paper, we present a progressive edge-based stereo matching algorithm, in which big window and small window based matches are progressively integrated based on the edges of disparity map of a big window based matching. In addition, an arbitrarily-shaped window based matching is used for the regions where big windows and small windows can not find matches, and a novel optimization method, progressive outlier remover, is used to effectively remove outliers and noise. Empirical results show that our method is comparable to some state-of-the-art stereo correspondence algorithms.
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© 2007 Springer-Verlag Berlin Heidelberg
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Su, X., Khoshgoftaar, T.M. (2007). A Progressive Edge-Based Stereo Correspondence Method. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_25
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DOI: https://doi.org/10.1007/978-3-540-76858-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
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