Abstract
The stereo matching algorithm of binocular underwater images based on SURF (Speeded Up Robust Features) operator and epipolar restriction is presented. With complex underwater environment, epipolar restriction is introduced to solve the impact of refraction. Fast hessian-matrix detector is used to detect the interest points and the SURF descriptor is used to describe the points’ features. Euclidean distance and epipolar restriction are used for features matching to simplify the calculation. The method has better performance than traditional algorithm on computing efficiency and matching accuracy.
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Wang, N., Peng, B.b., Zhu, D., Xu, P. (2014). Stereo Matching for Binocular Underwater Images Using SURF Operator and Epipolar Restriction. In: Ma, S., Jia, L., Li, X., Wang, L., Zhou, H., Sun, X. (eds) Life System Modeling and Simulation. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45283-7_39
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DOI: https://doi.org/10.1007/978-3-662-45283-7_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45282-0
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