Institute of Computing Technology, Chinese Academy IR
WLD: A Robust Local Image Descriptor | |
Chen, Jie1; Shan, Shiguang2; He, Chu3; Zhao, Guoying1; Pietikainen, Matti1; Chen, Xilin2; Gao, Wen4 | |
2010-09-01 | |
发表期刊 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
ISSN | 0162-8828 |
卷号 | 32期号:9页码:1705-1720 |
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. |
关键词 | Pattern recognition Weber law local descriptor texture face detection |
DOI | 10.1109/TPAMI.2009.155 |
收录类别 | SCI |
语种 | 英语 |
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 |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000279969000012 |
出版者 | IEEE COMPUTER SOC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/12108 |
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. |
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