Disparity Optimization Algorithm on Sub-pixel Accuracy for Stereo Matching Using Segmentation Guided Filtering
SHI Hua1,2, ZHU Hong1 , YU Shunyuan1
1.School of Automation and Information Engineering, Xi′an University of Technology, Xi′an 710048. 2.School of Science, Xi′an Technological University, Xi′an 710032
Abstract：To solve the problems of low accuracy and staircase effect in slope and weak texture regions for local stereo matching, a disparity optimization algorithm on sub-pixel accuracy using segmentation guided filtering is proposed. Firstly, the mismatch pixels are checked on the initial stereo matching disparity map according to left-right consistency criterion, and the mismatch disparity is corrected by average filtering. Then, the guide image is obtained by segmenting the corrected disparity map, and the sub-pixel accuracy dense disparity map can be achieved via disparity optimization based on the segmentation guided filtering method. Experimental results show that by the proposed algorithm the smoothness of the disparity map in slope regions is improved effectively, the mismatch rates of the initial stereo matching disparity are reduced, and the higher precision of dense disparity is obtained.
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2016, Vol. 29 
