Proceedings Paper
Robust image matching via ORB feature and VFC for mismatch removal| Format | Member Price | Non-Member Price |
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Paper Abstract
Image matching is at the base of many image processing and computer vision problems, such as object recognition or structure from motion. Current methods rely on good feature descriptors and mismatch removal strategies for detection and matching. In this paper, we proposed a robust image match approach based on ORB feature and VFC for mismatch removal. ORB (Oriented FAST and Rotated BRIEF) is an outstanding feature, it has the same performance as SIFT with lower cost. VFC (Vector Field Consensus) is a state-of-the-art mismatch removing method. The experiment results demonstrate that our method is efficient and robust.
Paper Details
Date Published: 8 March 2018
PDF: 6 pages
Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090D (8 March 2018); doi: 10.1117/12.2283260
Published in SPIE Proceedings Vol. 10609:
MIPPR 2017: Pattern Recognition and Computer Vision
Zhiguo Cao; Yuehuang Wang; Chao Cai, Editor(s)
PDF: 6 pages
Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090D (8 March 2018); doi: 10.1117/12.2283260
Show Author Affiliations
Tao Ma, Huazhong Univ. of Science and Technology (China)
Wenxing Fu, China Aerospace Science and Industry Corp. (China)
Bin Fang, Huazhong Univ. of Science and Technology (China)
Wenxing Fu, China Aerospace Science and Industry Corp. (China)
Bin Fang, Huazhong Univ. of Science and Technology (China)
Fangyu Hu, Huazhong Univ. of Science and Technology (China)
Siwen Quan, Huazhong Univ. of Science and Technology (China)
Jie Ma, Huazhong Univ. of Science and Technology (China)
Siwen Quan, Huazhong Univ. of Science and Technology (China)
Jie Ma, Huazhong Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 10609:
MIPPR 2017: Pattern Recognition and Computer Vision
Zhiguo Cao; Yuehuang Wang; Chao Cai, Editor(s)
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