Feature-based correspondence: an eigenvector approach
Image and Vision Computing - Special issue: BMVC 1991
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Point Signatures: A New Representation for 3D Object Recognition
International Journal of Computer Vision
Intelligent biometric techniques in fingerprint and face recognition
Intelligent biometric techniques in fingerprint and face recognition
Experimental evaluation of expert fusion strategies
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
3D Human Face Recognition Using Point Signature
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face recognition from one example view
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A Survey Of Approaches To Three-Dimensional Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Journal of Cognitive Neuroscience
Recognition of head-and-shoulder face image using virtual frontal-view image
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
Automatic face authentication with self compensation
Image and Vision Computing
Face recognition across pose: A review
Pattern Recognition
Real-time 3D face recognition with the integration of depth and intensity images
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Face recognition in 2D and 2.5D using ridgelets and photometric stereo
Pattern Recognition
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition
International Journal of Computer Vision and Image Processing
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This paper presents a recognition system that is invariant to both viewing directions and facial expressions. This system is based on both 3D range data as well as 2D grey-level facial images. An irregular 2D mesh labeled by 12 landmarks and a 3D region labeled by four landmarks are defined in each face for feature extraction. Nodes of the 2D mesh are described by Gabor filter responses and 3D points are represented by Point signatures. A subset of mesh nodes (feature nodes), from which discriminating and expression-invariant 2D features can be extracted, is automatically selected for each subject. In the face library, each subject is represented, using both 2D and 3D features, by a frontal face with a neutral facial expression. To classify test faces under varying views or varying facial expressions, a robust Structural Hausdorff Distance is proposed to handle the possible case of matching incomplete data under structural constraints. The best matched model is determined based on the linear integration of matching results in 2D and 3D domains. Good experimental results have been obtained based on our database (involving 80 persons with different facial expressions and viewpoints).