Face detection in gray scale images using locally linear embeddings
Computer Vision and Image Understanding
Hierarchical face tracking by using PTZ camera
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Automatic segmentation of characteristic areas of the human head on thermographic images
Machine Graphics & Vision International Journal
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We present a subspace approach to face detection with Support Vector Machine (SVMs). A linear SVM classifier is trained as a filter to produce a subspace in which a non-linear SVM classifier with Gaussian kernel is trained for face detection. This makes training easier and results in a very efficient face detection algorithm. Experimental results demonstrate their promising performance compared with some well-known existing detectors.