Correspondence search in the presence of specular highlights using specular-free two-band images

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Abstract

In this paper, we present a new method to deal with specular high-lights 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. © Springer-Verlag Berlin Heidelberg 2006.

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Yoon, K. J., & Kweon, I. S. (2006). Correspondence search in the presence of specular highlights using specular-free two-band images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3852 LNCS, pp. 761–770). https://doi.org/10.1007/11612704_76

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