Abstract
This paper presents a fast stereo matching algorithm using SUSAN window. The response of SUSAN window is used to calculate the dissimilarity cost. From this dissimilarity cost, an initial match can be found. Then, with this initial match, a dynamic programming algorithm searches for the best path of two scan lines. Since the proposed dissimilarity cost calculation method is very simple, and does not make use of any complicated mathematic formula, its running time is almost as same as SAD in the fixed window. In addition, the proposed matching algorithm only has two control parameters, bright threshold and occlusion penalty, which make it to be easily optimized.
This work was partially supported by the Brain Korea 21 Project and KIPA-Information Technology Research Center.
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© 2005 Springer-Verlag Berlin Heidelberg
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Chae, KY., Dong, WP., Jeong, CS. (2005). SUSAN Window Based Cost Calculation for Fast Stereo Matching. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_140
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DOI: https://doi.org/10.1007/11596981_140
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30819-5
Online ISBN: 978-3-540-31598-8
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