Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic visual learning for object detection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Multi-Modal 2D and 3D Biometrics for Face Recognition
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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
Deformation Analysis for 3D Face Matching
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Expression-invariant 3D face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Profile-Based 3d face registration and recognition
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
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Face recognition technology has been a focus both in academia and industry for the last couple of years because of its wide potential application and its importance to meet the security needs of today's world. This paper proposes a method to tackle an important problem in 3D face recognition: the deformation of facial geometry that results from the expression changes of a subject. A framework composed of three subsystems: expression recognition system, expressional face recognition system and neutral face recognition system is proposed and implemented. This framework enables more intelligent face recognition. The recognition of faces that were neutral or exhibited one expression, i.e. smiling, was tested on a database of 30 subjects. The results proved the feasibility of this framework.