Face detection in gray scale images using locally linear embeddings
Computer Vision and Image Understanding
Cascaded face detection using neural network ensembles
EURASIP Journal on Advances in Signal Processing
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This paper presents a method of detecting faces based on hierarchical Support Vector Machines (SVM). The hierarchical SVM classifier is composed of a Combination of Linear SVM (CLSVM) and a nonlinear SVM. In training stage, the nonlinear SVM is trained under theconstraint of the CLSVM to select more effective non-face samples. In detection stage, the CLSVM is used to fast exclude most non-/aces in images and the nonlinear SVM is used to verify possible face candidates further. Experimental result on several databases demonstrates the feasibility of the method.