Fisher Light-Fields for Face Recognition across Pose and Illumination
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Appearance-Based 3-D Face Recognition from Video
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine 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
Rank Constrained Recognition under Unknown Illuminations
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-Based Face Recognition and Light-Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting moving people in video streams
Pattern Recognition Letters
Face recognition using multi-feature and radial basis function network
VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D and 3D face recognition: A survey
Pattern Recognition Letters
Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
DT-CWT Feature Structure Representation for Face Recognition under Varying Illumination Using EMD
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Synthesizing Frontal Faces on Calibrated Stereo Cameras for Face Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
An MLP-based face authentication technique robust to orientation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Probabilistic identity characterization for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Face recognition based on 2D images under illumination and pose variations
Pattern Recognition Letters
Illuminating light field: image-based face recognition across illuminations and poses
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Eigen-harmonics faces: face recognition under generic lighting
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Pose invariant face recognition under arbitrary illumination based on 3d face reconstruction
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Pose normalization using generic 3d face model as a priori for pose-insensitive face recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
A variational statistical framework for object detection
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Class dependent factor analysis and its application to face recognition
Pattern Recognition
Morphable displacement field based image matching for face recognition across pose
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
A real-time angle- and illumination-aware face recognition system based on artificial neural network
Applied Computational Intelligence and Soft Computing - Special issue on Awareness Science and Engineering
Face recognition with enhanced local directional patterns
Neurocomputing
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In many face recognition tasks the pose of the probe and gallery images are different. In other cases multiple gallery or probe images may be available, each captured from a different pose. We propose a face recognition algorithm which can use any number of gallery images per subject captured at arbitrary poses, and any number of probe images, again captured at arbitrary poses. The algorithm operates by estimating the eigen light-field of the subject's head from the input gallery or probe images. Matching between the probe and gallery is then performed using the eigen light-fields. We present results on the CMU PIE and the FERET face databases.