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STUT CSIE Multi-view face detection using discriminant features 碩碩碩碩 碩 一 M97G0217 碩碩碩 111/06/27 1 Peng Wang , Qiang Ji 2006 mputer Vision and Image Understanding, Vol. 105, Issue 2, February 2
Multi-view face detection using discriminant features
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Multi-view face detection using discriminant features. Computer Vision and Image Understanding, Vol. 105, Issue 2, February 2007. Peng Wang , Qiang Ji 2006. Outline. Introduction Discriminant feature Experiments. 系統流程圖. STAR. Image. RNDA. Gray-scale. Adaboost. Skin Regions. - PowerPoint PPT Presentation
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Multi-view face detection using discriminant features
M97G0217 **Peng Wang , Qiang Ji 2006Computer Vision and Image
Understanding, Vol. 105, Issue 2, February 2007
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OutlineIntroduction
Discriminant feature
Experiments
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M97G0217 **ImageSTARGray-scaleSkin RegionsRNDAAdaboostface
detector
Multi-view face
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Introduction
Multi-view face processing has recently received more
attentions, since more than 75% faces in real images are
non-frontal. M97G0217 **
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Discriminant analysis
FDA(Fisher discriminant analysis) 1933.NDA(Nonparametric
discriminant analysis)1990.
RNDA(Recursive Nonparametric Discriminant Analysis)2006
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Discriminant AnalysisFisher
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Discriminant Analysis cont. M97G0217 **
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Discriminant Analysis cont. M97G0217 **
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Discriminant Analysis cont. M97G0217 **
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Discriminant Analysis cont. M97G0217 **
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Discriminant Analysis cont. M97G0217 **
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Discriminant Analysis cont.
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Experiments
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Experiments cont.
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Thank you M97G0217 **
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Harr-like features
M97G0217 **24*24180000features
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Discriminant Analysis cont. M97G0217 **()
(MN) 1 within-class matrix between-class matrix(MN) (MN)
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Fukunaga-NDANNs(Nearest Neighbors)
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Experiments cont.
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Experiments- cont. M97G0217 **
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Experiments- cont. M97G0217 **
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