Feature extraction from faces using deformable templates
International Journal of Computer Vision
Active shape models—their training and application
Computer Vision and Image Understanding
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Face Detection on Still Images Using HIT Maps
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An accurate active shape model for facial feature extraction
Pattern Recognition Letters
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
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We propose a face and completely facial feature extraction model for facial expression applications. This model applies to both face contour detection and face region detection. First, we introduce skin-color filtering using YCbCr color space to extract the skin-color of face the region. Second, the template ACM is modeled by the active contour model. This model is more active than ASM (Active Shape Model). Our algorithm has been tested in experiments with various subjects, producing a good extraction results.