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Fully affine invariant SURF for image matching
Pang, Yanwei2; Li, Wei2; Yuan, Yuan1; Pan, Jing3
作者部门光学影像分析与学习中心
2012-05-15
发表期刊NEUROCOMPUTING
ISSN0925-2312
卷号85页码:6-10
产权排序2
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.
文章类型Article
关键词Feature Extraction Image Matching Fair-surf Surf
学科领域Computer Science
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2011.12.006
收录类别SCI ; EI
关键词[WOS]SELECTION ; FEATURES
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000302972300002
引用统计
被引频次:127[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/20260
专题光谱成像技术研究室
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
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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.
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