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.
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.