Paper
2 December 2011 Research of SIFT matching algorithm in binocular vision
Shihua Liang, Wei Wu, Liting Lin, Xining Wang
Author Affiliations +
Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 80041B (2011) https://doi.org/10.1117/12.902894
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
According to that the SIFT algorithm contains contour property in the process of computation of scale-space, this paper proposes an improved SIFT algorithm named Contour directed-SIFT to offset the flaws of real-time in SIFT algorithm. In order to improve the accuracy of SIFT algorithm, the paper improve the Contour directed-SIFT algorithm using the epipolar constraint. Taking the two aspects above, a new matching algorithm based on SIFT algorithm in binocular vision is proposed. This algorithm can assure the real-time and accuracy in matching images, which can be applied in matching of massive features of tridimensional vision.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shihua Liang, Wei Wu, Liting Lin, and Xining Wang "Research of SIFT matching algorithm in binocular vision", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80041B (2 December 2011); https://doi.org/10.1117/12.902894
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KEYWORDS
Image processing

Communication engineering

Convolution

Algorithm development

Computer vision technology

Current controlled current source

Image acquisition

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