Elements of information theory
Elements of information theory
Probabilistic Visual Learning for Object Representation
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
Face Recognition Using Temporal Image Sequence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Learning over sets using kernel principal angles
The Journal of Machine Learning Research
Visual tracking and recognition using probabilistic appearance manifolds
Computer Vision and Image Understanding
Place recognition system from long-term observations
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human-centered multimedia: representations and challenges
Proceedings of the 1st ACM international workshop on Human-centered multimedia
Nonlinear manifold learning for dynamic shape and dynamic appearance
Computer Vision and Image Understanding
Boosted manifold principal angles for image set-based recognition
Pattern Recognition
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Grassmann discriminant analysis: a unifying view on subspace-based learning
Proceedings of the 25th international conference on Machine learning
Dynamic face recognition: From human to machine vision
Image and Vision Computing
A pose-wise linear illumination manifold model for face recognition using video
Computer Vision and Image Understanding
Identity Management in Face Recognition Systems
Biometrics and Identity Management
Universal Estimation of Information Measures for Analog Sources
Foundations and Trends in Communications and Information Theory
Temporal normalization of videos using visual speech
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Visual tracking and recognition using probabilistic appearance manifolds
Computer Vision and Image Understanding
Boosting constrained mutual subspace method for robust image-set based object recognition
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A vision-based system for display interaction
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
Video face recognition with graph-based semi-supervised learning
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A weighted probabilistic approach to face recognition from multiple images and video sequences
Image and Vision Computing
Coupled Visual and Kinematic Manifold Models for Tracking
International Journal of Computer Vision
Kernel discriminant analysis based on canonical differences for face recognition in image sets
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Recognition of human faces: from biological to artificial vision
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
On-line learning of mutually orthogonal subspaces for face recognition by image sets
IEEE Transactions on Image Processing
Graph-based classification of multiple observation sets
Pattern Recognition
Maximized posteriori attributes selection from facial salient landmarks for face recognition
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
Probabilistic identity characterization for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An evaluation of video-to-video face verification
IEEE Transactions on Information Forensics and Security
Robust fusion: extreme value theory for recognition score normalization
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Kernel discriminant transformation for image set-based face recognition
Pattern Recognition
Joint manifold distance: a new approach to appearance based clustering
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Video-based face recognition using probabilistic appearance manifolds
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Video-based face recognition: state of the art
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Face recognition from video using the generic shape-illumination manifold
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Person spotting: video shot retrieval for face sets
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A new distance criterion for face recognition using image sets
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Margin maximizing discriminant analysis for multi-shot based object recognition
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Learning discriminative canonical correlations for object recognition with image sets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Face recognition with the multiple constrained mutual subspace method
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Video-Based face recognition using earth mover's distance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Face recognition using more than one still image: what is more?
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Video-Based face recognition using a metric of average euclidean distance
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Image-Set based face recognition using boosted global and local principal angles
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Multi-eigenspace learning for video-based face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Gender classification from unaligned facial images using support subspaces
Information Sciences: an International Journal
Generalized mutual subspace based methods for image set classification
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Fusing cluster-centric feature similarities for face recognition in video sequences
Pattern Recognition Letters
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We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence of images provides information about the variability in the appearance of the face which can be used for more robust recognition. We discuss different approaches to the use of this information, and show that when cast as a statistical hypothesis testing problem, the classification task leads naturally to an information-theoretic algorithm that classifies sets of images using the relative entropy (Kullback-Leibler divergence) between the estimated density of the input set and that of stored collections of images for each class. We demonstrate the performance of the proposed algorithm on two medium-sized data sets of approximately frontal face images, and describe an application of the method as part of a view-independent recognition system.