Fully affine invariant SURF for image matching

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Fully affine invariant SURF for image matching
	Pang, Yanwei 2; Li, Wei 2; Yuan, Yuan1 ; Pan, Jing 3
刊名	neurocomputing
	2012-05-15
卷号	85 页码:6-10
关键词	Feature extraction Image matching FAIR-SURF SURF
ISSN号	0925-2312
产权排序	2
合作状况	国内
中文摘要	fast and robust feature extraction is crucial for many computer vision applications such as image matching. the representative and the state-of-the-art image features include scale invariant feature transform (sift), speeded up robust features (surf), and affine sift (asift). however, neither of them is fully affine invariant and computation efficient at the same time. to overcome this problem, we propose in this paper a fully affine invariant surf algorithm. the proposed algorithm makes full use of the affine invariant advantage of asift and the efficient merit of surf while avoids their drawbacks. experimental results on applications of image matching demonstrate the robustness and efficiency of the proposed algorithm.
英文摘要	fast and robust feature extraction is crucial for many computer vision applications such as image matching. the representative and the state-of-the-art image features include scale invariant feature transform (sift), speeded up robust features (surf), and affine sift (asift). however, neither of them is fully affine invariant and computation efficient at the same time. to overcome this problem, we propose in this paper a fully affine invariant surf algorithm. the proposed algorithm makes full use of the affine invariant advantage of asift and the efficient merit of surf while avoids their drawbacks. experimental results on applications of image matching demonstrate the robustness and efficiency of the proposed algorithm. (c) 2012 elsevier b.v. all rights reserved.
学科主题	computer science ; artificial intelligence
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence
研究领域[WOS]	computer science
关键词[WOS]	selection ; features
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000302972300002
公开日期	2012-09-03
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/20260]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China 3.Tianjin Univ Educ & Technol, Sch Elect Engn, Tianjin 300222, Peoples R China
推荐引用方式 GB/T 7714	Pang, Yanwei,Li, Wei,Yuan, Yuan,et al. Fully affine invariant SURF for image matching[J]. neurocomputing,2012,85:6-10.
APA	Pang, Yanwei,Li, Wei,Yuan, Yuan,&Pan, Jing.(2012).Fully affine invariant SURF for image matching.neurocomputing,85,6-10.
MLA	Pang, Yanwei,et al."Fully affine invariant SURF for image matching".neurocomputing 85(2012):6-10.