NDLI: A new global energy optimization framework for stereo disparity estimation

Content Provider	IEEE Xplore Digital Library
Author	Yuhang Mao Sheng Liu Shaobo Zhang Xin Wang Ye Zhan
Copyright Year	2012
Description	Author affiliation: College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China (Yuhang Mao; Sheng Liu; Shaobo Zhang; Xin Wang) \|\| School of Accounting, Zhejiang University of Finance and Economics, Hangzhou, China (Ye Zhan)
Abstract	Stereo matching is an essential step in depth estimation, which can be formulated as an energy minimization problem. This paper presents a novel global energy optimization framework for stereo matching. We formulate a new data term revised from normal NCC algorithm. In addition, we adopt multichannel pixel values from input corresponding images to improve the data accuracy. Finally, a bidirectional stereo matching strategy is introduced to refine the disparity calculating results. Our proposed method is definitely helpful for stereo matching and reconstruction of stereo scene. Moreover, we have compared the proposed method with both local method and the approach in [4] quantitatively and qualitatively. The results based on Middlebury data sets show that our method outperforms the others apparently.
Starting Page	1805
Ending Page	1809
File Size	571139
Page Count	5
File Format	PDF
ISBN	9781467301985
e-ISBN	9781467301992
DOI	10.1109/ICSAI.2012.6223395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Estimation Stereo matching A-expansion Minimization Cameras Stereo vision Labeling Optimization Graph cuts Energy optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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