A Low Complexity Interest Point Detector

doi:10.1109/LSP.2014.2354237

CORC > 北京大学 > 信息科学技术学院

	A Low Complexity Interest Point Detector
	Chen, Jie ; Duan, Ling-Yu ; Gao, Feng ; Cai, Jianfei ; Kot, Alex C. ; Huang, Tiejun
刊名	ieee signal processing letters
	2015
关键词	Block-wise scale-space representation interest point detector Laplacian of Gaussian scale-space MOBILE VISUAL-SEARCH SCALE IMAGES
DOI	10.1109/LSP.2014.2354237
英文摘要	Interest point detection is a fundamental approach to feature extraction in computer vision tasks. To handle the scale invariance, interest points usually work on the scale-space representation of an image. In this letter, we propose a novel block-wise scale-space representation to significantly reduce the computational complexity of an interest point detector. Laplacian of Gaussian (LoG) filtering is applied to implement the block-wise scale-space representation. Extensive comparison experiments have shown the block-wise scale-space representation enables the efficient and effective implementation of an interest point detector in terms of memory and time complexity reduction, as well as promising performance in visual search.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000342159700004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; SCI(E); EI; 0; ARTICLE; cjie@pku.edu.cn; lingyu@pku.edu.cn; gaof@pku.edu.cn; ASJFCai@ntu.edu.sg; eackot@ntu.edu.sg; tjhuang@pku.edu.cn; 2; 172-176; 22
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/151914]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen, Jie,Duan, Ling-Yu,Gao, Feng,et al. A Low Complexity Interest Point Detector[J]. ieee signal processing letters,2015.
APA	Chen, Jie,Duan, Ling-Yu,Gao, Feng,Cai, Jianfei,Kot, Alex C.,&Huang, Tiejun.(2015).A Low Complexity Interest Point Detector.ieee signal processing letters.
MLA	Chen, Jie,et al."A Low Complexity Interest Point Detector".ieee signal processing letters (2015).