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Application of SIFT feature vector matching algorithm in binocular stereo vision system
Author(s): Jing Dong; Wei Liu; Yun Zhu
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Paper Abstract

Stereo vision matching is to search the corresponding relation of one spatial object observed from different angles in the projected image, and obtain the parallax image depending on the deviation (parallax is the geometric distance between different points projected from the same spatial point on different image. In a parallel binocular stereo vision system, two cameras have the same focal length and parallel imaging planes, so there is no rotation and scale conversion for images obtained by two cameras. SIFT binocular stereo vision system does not need multi-scale conversion and coordinate axis rotation, therefore the algorithm is simplified and the fault tolerance for SIFT target matching is maintained.

Paper Details

Date Published: 12 March 2019
PDF: 6 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110231U (12 March 2019); doi: 10.1117/12.2521900
Show Author Affiliations
Jing Dong, Huazhong Institute of Electro-Optics (China)
Wei Liu, Huazhong Institute of Electro-Optics (China)
Yun Zhu, Huazhong Institute of Electro-Optics (China)


Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

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