Semantic based image retrieval: a probabilistic approach
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Multiple Landmark Feature Point Mapping for Robust Face Recognition
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
A face location and recognition system based on tangent distance
Multimodal interface for human-machine communication
Automatic landmark location with a combined active shape model
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Facial feature extraction on fiducial points and used in face recognition
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Illumination normalization for robust face recognition using discrete wavelet transform
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Gabor-Based kernel fisher discriminant analysis for pose discrimination
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Facilitating fashion camouflage art
Proceedings of the 21st ACM international conference on Multimedia
Recognizing hand gestures using the weighted elastic graph matching (WEGM) method
Image and Vision Computing
HEGM: A hierarchical elastic graph matching for hand gesture recognition
Pattern Recognition
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We present a system for recognizing human faces from single images out of a large database containing one image per person. Faces are represented by labeled graphs, based on a Gabor wavelet transform. Image graphs of new faces are extracted by an elastic graph matching process and can be compared by a simple similarity function. The system differs from Lades et al. (1993) in three respects. Phase information is used for accurate node positioning. Object-adapted graphs are used to handle large rotations in depth. Image graph extraction is based on a novel data structure, the bunch graph, which is constructed from a small set of sample image graphs.