When occluding contour and texture discontinuity coincide, area-based matching algorithms give wrong disparity estimates near the contour. We have developed a method for ranking area-based matching algorithms according to the relative area of the artifacts. Evaluation method is described and results on some algorithms are presented. Our data and ground-truth are available from this page.
All textures are random binary Gaussian noise of different mean gray-value and contrast.
The texture pattern is the same on the target's flat back so that the influence on the matching algorithm of the texture boundaries alone can be studied in a control experiment. Occlusion boundaries were identified manually with pixel precision. You may download them directly to your Matlab using load . Ground-truth left occlusion map pixels are 1's in areas that are occluded in the right image and 0's elsewhere. The disparity and the occlusion maps are not defined on the background since the background is not considered a part of the ground-truth.