Stereo matching using census transform of adaptive window sizes with gradient images
Jaeryun Ko, Yo‐Sung Ho · 2016
The census transform in computing the matching cost of stereo matching is simple and robust under luminance variations in stereo image pairs; however, different disparity maps are generated depending on the shape and size of the census transform window. In this paper, we propose a stereo matching method with variable sizes of census transform windows based on the gradients of stereo images. Our experiment shows higher accuracy of disparity values in the area of depth discontinuities.