Active shape models—their training and application
Computer Vision and Image Understanding
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
An accurate active shape model for facial feature extraction
Pattern Recognition Letters
Bayesian tangent shape model: Estimating shape and pose parameters via bayesian inference
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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In this paper we compare the performance of face recognition systems based on two deformable shape models and on three classification approaches. Face contours have been extracted by using two methods: the Active Shapes and the Bayesian Tangent Shapes. The Normal Bayes Classifiers and the Minimum Distance Classifiers (based on the Euclidean and Mahalanobis metrics) have been designed and then compared w.r.t. the face recognition efficiency. The influence of the parameters of the shape extraction algorithms on the efficiency of classifiers has been investigated. The proposed classifiers have been tested both in the controlled conditions and as a part of the automatic face recognition system.