Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
The NIST speaker recognition evaluation - overview methodology, systems, results, perspective
Speech Communication - Speaker recognition and its commercial and forensic applications
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Aircraft Detection: A Case Study in Using Human Similarity Measure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition from Unfamiliar Views: Subspace Methods and Pose Dependency
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Face recognition from one example view
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Face Identification across Different Poses and Illuminations with a 3D Morphable Model
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Growing Gaussian Mixture Models for Pose Invariant Face Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Fast features for face authentication under illumination direction changes
Pattern Recognition Letters
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
On Accuracy/Robustness/Complexity Trade-Offs in Face Verification
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
On Local Features for GMM Based Face Verification
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Journal of Cognitive Neuroscience
Face verification competition on the XM2VTS database
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A GMM parts based face representation for improved verification through relevance adaptation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Face verification using adapted generative models
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face authentication with Gabor information on deformable graphs
IEEE Transactions on Image Processing
An efficient digital VLSI implementation of Gaussian mixture models-based classifier
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
On statistical approaches to target silhouette classification in difficult conditions
Digital Signal Processing
A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier
International Journal of Computer Vision
Sensitivity analysis of partitioning-based face recognition algorithms on occlusions
AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Efficient statistical face recognition across pose using local binary patterns and Gabor wavelets
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Multi-view face segmentation using fusion of statistical shape and appearance models
Computer Vision and Image Understanding
Towards pose-invariant 2D face classification for surveillance
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Face recognition from still images to video sequences: a local-feature-based framework
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Cross-pose face recognition based on partial least squares
Pattern Recognition Letters
Template matching approach for pose problem in face verification
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Video-to-video face authentication system robust to pose variations
Expert Systems with Applications: An International Journal
Overlapping local phase feature (OLPF) for robust face recognition in surveillance
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Structural Bayesian Linear Regression for Hidden Markov Models
Journal of Signal Processing Systems
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We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayesian classifier based on mixtures of gaussians, the problem is tackled through extending each frontal face model with artificially synthesized models for non-frontal views. The synthesis methods are based on several implementations of maximum likelihood linear regression (MLLR), as well as standard multi-variate linear regression (LinReg). All synthesis techniques rely on prior information and learn how face models for the frontal view are related to face models for non-frontal views. The synthesis and extension approach is evaluated by applying it to two face verification systems: a holistic system (based on PCA-derived features) and a local feature system (based on DCT-derived features). Experiments on the FERET database suggest that for the holistic system, the LinReg-based technique is more suited than the MLLR-based techniques; for the local feature system, the results show that synthesis via a new MLLR implementation obtains better performance than synthesis based on traditional MLLR. The results further suggest that extending frontal models considerably reduces errors. It is also shown that the local feature system is less affected by view changes than the holistic system; this can be attributed to the parts based representation of the face, and, due to the classifier based on mixtures of gaussians, the lack of constraints on spatial relations between the face parts, allowing for deformations and movements of face areas.