CHEN Jianming and SHI Minghui. Binocular vision ranging combined with improved SIFT algorithm[J]. Journal of Light Industry, 2018, 33(5): 90-96. doi: 10.3969/j.issn.2096-1553.2018.05.012
Citation:
CHEN Jianming and SHI Minghui. Binocular vision ranging combined with improved SIFT algorithm[J]. Journal of Light Industry, 2018, 33(5): 90-96.
doi:
10.3969/j.issn.2096-1553.2018.05.012
Binocular vision ranging combined with improved SIFT algorithm
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College of Electric Poewr, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
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Received Date:
2018-06-21
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Abstract
In order to solve the problem of complex calculation and low real-time performance when using binocular vision ranging for UAV real-time line patrol, a binocular vision ranging scheme combining improved SIFT algorithm was proposed. A binocular vision model similar to monocular vision was adopted to reduce computation variables, the traditional SIFT algorithm was improved by reducing the number of scale spaces, reducing the dimension of feature vectors, and replacing the Euclidean distance with the block distance,so as to improve the matching efficiency of the uniform feature points of two images taken simultaneously by two cameras. The results showed that the matching time was reduced by 32% and the maximum error rate was reduced to 3.75%. The method could meet the accuracy requirements of UAV fast real-time line patrol ranging.
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