@inproceedings{3f5b4bbeb17a489a93f8a99b054b9b44,
title = "Robust image matching via ORB feature and VFC for mismatch removal",
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.",
keywords = "Image matching, local invariant feature, ORB feature, vector field consensus",
author = "Tao Ma and Wenxing Fu and Bin Fang and Fangyu Hu and Siwen Quan and Jie Ma",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; 10th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2017 ; Conference date: 28-10-2017 Through 29-10-2017",
year = "2017",
doi = "10.1117/12.2283260",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Chao Cai and Zhiguo Cao and Yuehuang Wang",
booktitle = "MIPPR 2017",
}