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231223s2010 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2009.155
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|a eng
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|a Chen, Jie
|e verfasserin
|4 aut
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|a WLD
|b a robust local image descriptor
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|c 2010
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 27.12.2010
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|a Date Revised 16.07.2010
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|a published: Print
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|a Citation Status MEDLINE
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|a 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
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Shan, Shiguang
|e verfasserin
|4 aut
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|a He, Chu
|e verfasserin
|4 aut
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|a Zhao, Guoying
|e verfasserin
|4 aut
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|a Pietikäinen, Matti
|e verfasserin
|4 aut
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|a Chen, Xilin
|e verfasserin
|4 aut
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|a Gao, Wen
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 32(2010), 9 vom: 15. Sept., Seite 1705-20
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:32
|g year:2010
|g number:9
|g day:15
|g month:09
|g pages:1705-20
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|u http://dx.doi.org/10.1109/TPAMI.2009.155
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