Robust image matching via ORB feature and VFC for mismatch removal

Tao Ma; Wenxing Fu; Bin Fang; Fangyu Hu; Siwen Quan; Jie Ma

doi:10.1117/12.2283260

8 March 2018 Robust image matching via ORB feature and VFC for mismatch removal

Tao Ma, Wenxing Fu, Bin Fang, Fangyu Hu, Siwen Quan, Jie Ma

Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090D (2018) https://doi.org/10.1117/12.2283260
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

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.

Citation Download Citation

Tao Ma, Wenxing Fu, Bin Fang, Fangyu Hu, Siwen Quan, and Jie Ma "Robust image matching via ORB feature and VFC for mismatch removal", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090D (8 March 2018); https://doi.org/10.1117/12.2283260

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