Deep Stereo Matching with Dense CRF Priors

6 Dec 2016Ron SlossbergAaron WetzlerRon Kimmel

Stereo reconstruction from rectified images has recently been revisited within the context of deep learning. Using a deep Convolutional Neural Network to obtain patch-wise matching cost volumes has resulted in state of the art stereo reconstruction on classic datasets like Middlebury and Kitti... (read more)

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