Title :
A fast binocular vision stereo matching algorithm
Author :
Zhang, Hui ; Zhang, LingTao ; Zhao, Ming ; Liu, Jian
Author_Institution :
Faculty of Information and Control Engineering, Shenyang Jianzhu University, 9 Hunnan East Road, Hunnan New District, 110168 China
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.
Keywords :
Angle vector; Canny operator; Line moments; Stereo matching;
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on
Conference_Location :
Wuhan, Hubei, China
Print_ISBN :
978-1-4673-1524-1