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WLD: A Robust Local Image Descriptor

文献类型：期刊论文

作者Chen, Jie1; Shan, Shiguang2; He, Chu3; Zhao, Guoying1; Pietikainen, Matti1; Chen, Xilin2; Gao, Wen4
刊名IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
出版日期2010-09-01
卷号32期号:9页码:1705-1720
关键词Pattern recognition Weber law local descriptor texture face detection
ISSN号0162-8828
DOI10.1109/TPAMI.2009.155
英文摘要Inspired by Weber's Law, this paper proposes a simple, yet very powerful and robust local descriptor, called the Weber Local Descriptor (WLD). It is based on the fact that human perception of a pattern depends not only on the change of a stimulus (such as sound, lighting) but also on the original intensity of the stimulus. Specifically, WLD consists of two components: differential excitation and orientation. The differential excitation component is a function of the ratio between two terms: One is the relative intensity differences of a current pixel against its neighbors, the other is the intensity of the current pixel. The orientation component is the gradient orientation of the current pixel. For a given image, we use the two components to construct a concatenated WLD histogram. Experimental results on the Brodatz and KTH-TIPS2-a texture databases show that WLD impressively outperforms the other widely used descriptors (e.g., Gabor and SIFT). In addition, experimental results on human face detection also show a promising performance comparable to the best known results on the MIT+CMU frontal face test set, the AR face data set, and the CMU profile test set.
资助项目National Natural Science Foundation of China[60772071] ; National Natural Science Foundation of China[60833013] ; National Natural Science Foundation of China[U0835005] ; National Natural Science Foundation of China[60702041] ; National Basic Research Program of China (973 Program)[2009CB320902] ; Academy of Finland
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000279969000012
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/12107]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Jie
作者单位1.Univ Oulu, Machine Vis Grp, Elect & Informat Engn Dept, FI-90014 Oulu, Finland
2.Chinese Acad Sci, Key Lab Intelligent Informat Proc CAS, Inst Comp Technol, Beijing 100190, Peoples R China
3.Wuhan Univ, Sch Elect Informat, Wuhan 430079, Peoples R China
4.Peking Univ, Key Lab Machine Percept, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Jie,Shan, Shiguang,He, Chu,et al. WLD: A Robust Local Image Descriptor[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2010,32(9):1705-1720.
APA Chen, Jie.,Shan, Shiguang.,He, Chu.,Zhao, Guoying.,Pietikainen, Matti.,...&Gao, Wen.(2010).WLD: A Robust Local Image Descriptor.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,32(9),1705-1720.
MLA Chen, Jie,et al."WLD: A Robust Local Image Descriptor".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 32.9(2010):1705-1720.

入库方式： OAI收割

来源：计算技术研究所

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