NDLI: A fast binocular vision stereo matching algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Hui Zhang, LingTao Zhao, Ming Liu, Jian
Copyright Year	2012
Description	Author affiliation: Intelligent control and pattern recognition, SANYI Heavy Equipment Co., Ltd. No. 31, Yansehu Street, Shenyang Economic and Technological Development Zone, 110027 China (Zhang, LingTao) \|\| Faculty of Information and Control Engineering, Shenyang Jianzhu University, 9 Hunnan East Road, Hunnan New District, 110168 China (Zhang, Hui; Zhao, Ming; Liu, Jian)
Abstract	To resolve the problem of large computational cost and complexity of current binocular vision stereo matching algorithm, a fast Indoor stereo matching algorithm based on line moments and the angle vector is presented. Firstly, the method detects image edge using Canny operator, and finds the target objects according line moments, then feature points of the objects' contours are extracted. Finally, matching the pixel in stereo image pair according the angle vector. The algorithm effectively reduces the computational complexity, computational cost is decreased greatly. The experimental results show that The algorithm is possible and valid.
Starting Page	1179
Ending Page	1183
File Size	1286742
Page Count	5
File Format	PDF
ISBN	9781467315241
e-ISBN	9780956715715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Huazhong Univ of Sci & Tec
Subject Keyword	Canny operator Shape Angle vector Image edge detection Stereo matching Line moments Vectors Stereo vision Mathematical model Mobile robots Equations
Content Type	Text
Resource Type	Article

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