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Efficient logo recognition by local feature groups

文献类型：期刊论文

作者Liu, Yujie1; Wang, Jun1; Li, Zongmin1; Li, Hua2
刊名MULTIMEDIA SYSTEMS
出版日期2017-06-01
卷号23期号:3页码:395-403
关键词Logo recognition Grouping features Spatial information Hough transform
ISSN号0942-4962
DOI10.1007/s00530-016-0508-7
英文摘要This paper presents a method for efficient and scalable logo recognition. Using generalized Hough transform to identify local features that are invariant across images, we can efficiently add spatial information into groups of local features and enhance the discriminative power of local feature. Our method is more flexible and efficient compared with state-of-the-art methods that merge features into groups. To fully exploit the information that different logo images provide, we employ a reference-based image representation scheme to represent training and testing images. Experiments on challenging datasets show that our method is efficient and scalable and achieves state-of-the-art performance.
资助项目National Natural Science Foundation of China[61379106] ; Shandong Provincial Natural Science Foundation[ZR2013FM036] ; Shandong Provincial Natural Science Foundation[ZR2015FM011] ; Open Project Program of the State Key Lab of CADCG[A1315] ; Zhejiang University ; Fundamental Research Funds for the Central Universities[14CX02032A] ; Fundamental Research Funds for the Central Universities[14CX02031A]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000402136800013
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/7137]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liu, Yujie
作者单位1.Coll Comp & Commun Engn, Qingdao 266580, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Yujie,Wang, Jun,Li, Zongmin,et al. Efficient logo recognition by local feature groups[J]. MULTIMEDIA SYSTEMS,2017,23(3):395-403.
APA Liu, Yujie,Wang, Jun,Li, Zongmin,&Li, Hua.(2017).Efficient logo recognition by local feature groups.MULTIMEDIA SYSTEMS,23(3),395-403.
MLA Liu, Yujie,et al."Efficient logo recognition by local feature groups".MULTIMEDIA SYSTEMS 23.3(2017):395-403.

入库方式： OAI收割

来源：计算技术研究所

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