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231223s2005 xx ||||| 00| ||eng c |
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|a eng
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| 100 |
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|a Waring, Christopher A
|e verfasserin
|4 aut
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| 245 |
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|a Face detection using spectral histograms and SVMs
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|c 2005
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 19.07.2005
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a We present a face detection method using spectral histograms and support vector machines (SVMs). Each image window is represented by its spectral histogram, which is a feature vector consisting of histograms of filtered images. Using statistical sampling, we show systematically the representation groups face images together; in comparison, commonly used representations often do not exhibit this necessary and desirable property. By using an SVM trained on a set of 4500 face and 8000 nonface images, we obtain a robust classifying function for face and non-face patterns. With an effective illumination-correction algorithm, our system reliably discriminates face and nonface patterns in images under different kinds of conditions. Our method on two commonly used data sets give the best performance among recent face-detection ones. We attribute the high performance to the desirable properties of the spectral histogram representation and good generalization of SVMs. Several further improvements in computation time and in performance are discussed
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|a Comparative Study
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|a Evaluation Study
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|a Journal Article
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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|a Validation Study
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| 700 |
1 |
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|a Liu, Xiuwen
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
|d 1997
|g 35(2005), 3 vom: Juni, Seite 467-76
|w (DE-627)NLM098252887
|x 1083-4419
|7 nnns
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| 773 |
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|g volume:35
|g year:2005
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|g month:06
|g pages:467-76
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|d 35
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