Filtering and Interpolation of Inaccurate and Incomplete Depth Maps

Local algorithms for stereo fail to match accurately points in areas not discriminative enough, mainly texture-less regions. We propose a method for filtering incorrect depth estimates and filling in those areas which have not been matched. The proposed model combines total variation regularization with a non local term taking advantage of image self similarity. The method can be easily generalized to deal with other tasks, as for example stereo upsampling. The method is compared with state-of-the-art stereo methods, showing competitive results on the Middlebury stereo database.