Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning and Design of Principal Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Image Analysis by Unsupervised Learning
Face Image Analysis by Unsupervised Learning
Reconstruction from Graphs Labeled with Responses of Gabor Filters
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Tracking and Learning Graphs and Pose on Image Sequences of Faces
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Analysis, synthesis and recognition of human faces with pose variations
Analysis, synthesis and recognition of human faces with pose variations
Analysis, recognition and synthesis of facial gestures
Analysis, recognition and synthesis of facial gestures
Active Appearance Models Revisited
International Journal of Computer Vision
Similarity rank correlation for face recognition under unenrolled pose
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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We here introduce the Flexible Object Model to represent objects with structured deformation, such as the human face under variable expression. The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a single hand-labeled model graph. We apply the model to the representation, recognition and reconstruction of nine different facial expressions. After training, the model is capable of automatically finding facial landmarks, extracting deformation parameters and reconstructing faces in any of the learned expressions.