Feature extraction from faces using deformable templates
International Journal of Computer Vision
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Pattern Recognition Letters
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IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Journal of Cognitive Neuroscience
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ACM Transactions on Intelligent Systems and Technology (TIST)
Real-time embedded face recognition for smart home
IEEE Transactions on Consumer Electronics
Robust feature extraction for facial image quality assessment
WISA'10 Proceedings of the 11th international conference on Information security applications
Automated conformance testing for ISO/IEC 19794-5 Standard on facial photo specifications
International Journal of Biometrics
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In this paper, we propose a cascaded facial feature-extraction framework employing a set of model-based algorithms. In this framework, the algorithms are arranged with increasing model flexibility and extraction accuracy, such that the cascaded algorithm can have an optimal performance in both robustness and extraction accuracy. Especially, we propose a set of guidelines to analyze and jointly optimize the performance relation between the constituting algorithms, such that the constructed cascade gives the best overall performance. Afterwards, we present an implementation of the cascaded framework employing three algorithms, namely, sparse-graph search, component-based texture fitting and component-based direct fitting. Special attention is paid on the search and optimization of the model parameters of each algorithm, such that the overall extraction performance is greatly improved with respect to both reliability and accuracy.