Evaluating Multi-scale Over-segment and Its Contribution to Real Scene Stereo Matching by High-Order MRFs
Xie, Yiran; Cao, Rui; Tong, Hangyang; Liu, Sheng; Liu, Nianjun
Description
The paper is to propose a framework to qualitatively and quantitatively evaluate five of state-of-the-art over-segment approaches. Moreover upon over-segments evaluation, an efficient approach is developed for dense stereo matching through robust higher-order MRFs and graph cut based optimization, which combines the conventional data and smoothness terms with the robust higher-order potential term. The experimental results on real-scene data sets clearly demonstrate that our over-segment-based...[Show more]
Collections | ANU Research Publications |
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Date published: | 2010 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/33270 |
Source: | Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2010) |
DOI: | 10.1109/DICTA.2010.50 |
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01_Xie_Evaluating_Multi-scale_2010.pdf | 986.06 kB | Adobe PDF | Request a copy |
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