Fig. 5From: A learned sparseness and IGMRF-based regularization framework for dense disparity estimation using unsupervised feature learningResults in terms of percentage of bad matching pixels using proposed E D (d) with IGMRF prior by varying the number of layers NL in E F (d)Back to article page