Face Recognition System Using Local Autocorrelations and Multiscale Integration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Recognition with Light Compensation
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Journal of Cognitive Neuroscience
Active contour and morphological filters for geometrical normalization of human face
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
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This paper proposes a novel mechanism to seamlessly integrate face detection and face recognition. After extracting a human face x from an input image, not only x but also its various kinds of transformations are performed recognition. The final decision is then derived from aggregating the accumulated recognition results of each transformed pattern. From experiments, the proposed method has shown a significantly improved recognition performance compared with the traditional method on recognizing human faces.