Sparse representation over discriminative dictionary for stereo matching.

•Presenting a novel data-driven matching cost function based on sparse coding.•Learning a dictionary by using weighted sparse coding and discriminative learning.•The number of atoms in the dictionary is automatically decided during training.•Computing the matching costs based on the sparse representations.•The proposed method achieves the best accuracy on 30 test stereo images.