We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Binocular vision ranging combined with improved SIFT algorithm.
- Authors
CHEN Jianming; SHI Minghui
- 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.
- Subjects
BINOCULAR vision; COMPUTER vision; EUCLIDEAN distance; ALGORITHMS; ERROR rates
- Publication
Journal of Light Industry, 2018, Vol 33, Issue 5, p90
- ISSN
2096-1553
- Publication type
Article
- DOI
10.3969/j.issn.2096-1553.201S.05.012