SIFT on manifold: An intrinsic description
文献类型：期刊论文
| 作者 | Zhu, Guokang1,2; Wang, Qi1; Yuan, Yuan1 ; Yan, Pingkun1
|
| 刊名 | neurocomputing
 |
| 出版日期 | 2013-08-03 |
| 卷号 | 113页码:227-233 |
| 关键词 | Computer vision Manifold learning Scale invariant feature transform Locality preserving projections Descriptor |
| 英文摘要 | 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. |
| 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] | nonlinear dimensionality reduction ; interest point detectors ; features ; scale |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000319952700022 |
| 公开日期 | 2015-06-30 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/24015]  |
| 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.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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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