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12 March 2019 Application of SIFT feature vector matching algorithm in binocular stereo vision system
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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.
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Jing Dong, Wei Liu, and Yun Zhu "Application of SIFT feature vector matching algorithm in binocular stereo vision system", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110231U (12 March 2019); https://doi.org/10.1117/12.2521900
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