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 |
DOI | 10.1016/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 | |
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 |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
SIFT on manifold An (656KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 |
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