Presentation 2012-02-09
Realistic CG Stereo Image Dataset with Ground Truth Disparity Maps
Sarah MARTULL, Martin PERIS, Kazuhiro FUKUI,
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Abstract(in English) Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, research in some branches of the field has been constrained due to the few number of stereo datasets with ground truth disparity maps available. Having available a large dataset of stereo images with ground truth disparity maps would boost the research on new stereo matching methods, for example, methods based on machine learning. In this work we develop a large stereo dataset with ground truth disparity maps using highly realistic computer graphic techniques. We also apply some of the most common stereo matching techniques to our dataset to confirm that our highly realistic CG stereo images remain as challenging as real-world stereo images.
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Keyword(in English) Stereo Vision / Disparity Map / Computer Graphics / Dataset
Paper # PRMU2011-208,SP2011-123
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Conference Date 2012/2/2(1days)
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Title (in Japanese) (See Japanese page)
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Title (in English) Realistic CG Stereo Image Dataset with Ground Truth Disparity Maps
Sub Title (in English)
Keyword(1) Stereo Vision
Keyword(2) Disparity Map
Keyword(3) Computer Graphics
Keyword(4) Dataset
1st Author's Name Sarah MARTULL
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Martin PERIS
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
3rd Author's Name Kazuhiro FUKUI
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
Date 2012-02-09
Paper # PRMU2011-208,SP2011-123
Volume (vol) vol.111
Number (no) 431
Page pp.pp.-
#Pages 2
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