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SIFT on manifold: An intrinsic description
Zhu, Guokang1,2; Wang, Qi1; Yuan, Yuan1; Yan, Pingkun1
2013-08-03
发表期刊NEUROCOMPUTING
卷号113页码:227-233
摘要Scale Invariant Feature Transform is a widely used image descriptor, which is distinctive and robust in real-world applications. However, the high dimensionality of this descriptor causes computational inefficiency when there are a large number of points to be processed. This problem has led to several attempts at developing more compact SIFT-like descriptors, which are suitable for faster matching while still retaining their outstanding performance. This paper focuses on the SIFT descriptor and explore a dimensionality reduction for its local representation. By using the manifold learning algorithm of Locality Preserving Projections, a more effective and efficient descriptor LPP-SIFT can be obtained. A large number of experiments have been carried out to demonstrate the effectiveness of LPP-SIFT. Besides, the practicability of LPP-SIFT is also shown in another set of experiments for image similarity measurement. (C) 2013 Elsevier B.V. All rights reserved.
文章类型Article
关键词Computer Vision Manifold Learning Scale Invariant Feature Transform Locality Preserving Projections Descriptor
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2013.01.020
收录类别SCI ; EI
关键词[WOS]NONLINEAR DIMENSIONALITY REDUCTION ; INTEREST POINT DETECTORS ; FEATURES ; SCALE
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000319952700022
引用统计
被引频次:15[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/181661/24015
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.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China
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GB/T 7714
Zhu, Guokang,Wang, Qi,Yuan, Yuan,et al. SIFT on manifold: An intrinsic description[J]. NEUROCOMPUTING,2013,113:227-233.
APA Zhu, Guokang,Wang, Qi,Yuan, Yuan,&Yan, Pingkun.(2013).SIFT on manifold: An intrinsic description.NEUROCOMPUTING,113,227-233.
MLA Zhu, Guokang,et al."SIFT on manifold: An intrinsic description".NEUROCOMPUTING 113(2013):227-233.
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