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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2013.23
|2 doi
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|a eng
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| 100 |
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|a Belhumeur, Peter N
|e verfasserin
|4 aut
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| 245 |
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|a Localizing parts of faces using a consensus of exemplars
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 22.04.2016
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|a Date Revised 02.12.2018
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|a published: Print
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|a Citation Status MEDLINE
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|a We present a novel approach to localizing parts in images of human faces. The approach combines the output of local detectors with a nonparametric set of global models for the part locations based on over 1,000 hand-labeled exemplar images. By assuming that the global models generate the part locations as hidden variables, we derive a Bayesian objective function. This function is optimized using a consensus of models for these hidden variables. The resulting localizer handles a much wider range of expression, pose, lighting, and occlusion than prior ones. We show excellent performance on real-world face datasets such as Labeled Faces in the Wild (LFW) and a new Labeled Face Parts in the Wild (LFPW) and show that our localizer achieves state-of-the-art performance on the less challenging BioID dataset
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|a Journal Article
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| 650 |
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
1 |
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|a Jacobs, David W
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kriegman, David J
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kumar, Neeraj
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 35(2013), 12 vom: 17. Dez., Seite 2930-40
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
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|g volume:35
|g year:2013
|g number:12
|g day:17
|g month:12
|g pages:2930-40
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|u http://dx.doi.org/10.1109/TPAMI.2013.23
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|d 35
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|e 12
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|h 2930-40
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