Feature Ensemble Network with Occlusion Disambiguation for Accurate Patch-Based Stereo Matching

Xiaoqing YE, Jiamao LI, Han WANG, Xiaolin ZHANG
2017 IEICE transactions on information and systems  
Accurate stereo matching remains a challenging problem in case of weakly-textured areas, discontinuities and occlusions. In this letter, a novel stereo matching method, consisting of leveraging feature ensemble network to compute matching cost, error detection network to predict outliers and priority-based occlusion disambiguation for refinement, is presented. Experiments on the Middlebury benchmark demonstrate that the proposed method yields competitive results against the state-of-the-art
more » ... rithms. key words: stereo matching, convolutional neural network, patch-based, occlusion disambiguation
doi:10.1587/transinf.2017edl8122 fatcat:mqrswykkw5coxdskrjutchb7ae