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- W2373688333 abstract "This paper proposes an approach for fast and accurate face detection,which is based on skin color model and hierarchical support vector machines.The approach starts from a coarse segmentation to obtain face candidate areas using adjusted skin color model.Then those candidate areas are verified by hierarchical SVMs which are combined by linear SVM and PCA nonlinear SVM in order to get real faces.Experiments with a detection system show that the detection algorithm is robust to color distortion and is also able to be applied to face detection in gray images,and the algorithm can speed-up face detection and can promote detection correct rate to some degree compared with the detection algorithms based on skin color model and template matching." @default.
- W2373688333 created "2016-06-24" @default.
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- W2373688333 date "2005-01-01" @default.
- W2373688333 modified "2023-09-26" @default.
- W2373688333 title "Face Detection Based on Hierarchical Support Vector Machines" @default.
- W2373688333 hasPublicationYear "2005" @default.
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