This paper proposes a disparity refinement method with stability-based tree. By developing stability-based tree to evaluate and reconstruct support regions for error parts, the proposed method achieves effective performance in removing outliers. This approach further improves the quality of raw disparity map in stereo matching, which makes the local methods results comparable to the global ones. Experiments exhibit that the proposed method reduces more than 70% aggregation time compared with traditional tree method without loss of accuracy. It also outperforms existing disparity refinement methods in removing large error parts.
Disparity refinement with stability-based tree for stereo matching
2015-06-01
1162541 byte
Conference paper
Electronic Resource
English
Dense stereo matching in restricted disparity space
IEEE | 2005
|Dense Stereo Matching in Restricted Disparity Space
British Library Conference Proceedings | 2005
|Intensity and Feature Based Stereo Matching by Disparity Parameterization
British Library Conference Proceedings | 1998
|