Frequency-Based Nonrigid Motion Analysis: Application to Four Dimensional Medical Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Video: An introduction to MPEG-2
Digital Video: An introduction to MPEG-2
Introduction to Computer Systems for Imaging
Introduction to Computer Systems for Imaging
A Simple Illumination Normalization Algorithm for Face Recognition
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Illumination-robust face recognition using ridge regressive bilinear models
Pattern Recognition Letters
Journal of Cognitive Neuroscience
Dual optimal multiband features for face recognition
Expert Systems with Applications: An International Journal
Multiresolution face recognition
Image and Vision Computing
An online face recognition system using multiple compressed images over the internet
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Network-Based face recognition system using multiple images
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
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This paper presents a video authentication system over internet protocol that is insusceptible to illumination and expression variations. The illumination and expression invariant features are extracted using multi-band feature extraction. These features are classified by a radial basis function neural network. A new adaptive decision fusion method is proposed to combine the scores from different modalities and the different frames during the authentication process. Three levels of decision fusion are carried out in the proposed adaptive decision fusion. Depending on the level of decision fusion, the level of illumination influence is taken into account during the decision making.