Abstract
In this paper, we present a new method to deal with specular highlights in correspondence search. The proposed method is essentially based on the specular-free two-band image that we introduce to deal with specular reflection. For given input images, specular-free two-band images are generated using simple pixel-wise computations in real-time. Specular-free two-band images are then used to compute per-pixel raw matching costs. By using the specular-free two-band images instead of input images, reliable raw matching costs that are independent of the specularities of image pixels are obtained. As a result, we can find correct correspondences even in the presence of specular highlights. Experimental results show that the proposed method successfully produces accurate disparity maps for stereo images with specular highlights.
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Yoon, KJ., Kweon, IS. (2006). Correspondence Search in the Presence of Specular Highlights Using Specular-Free Two-Band Images. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_76
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DOI: https://doi.org/10.1007/11612704_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
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