ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Reanimating the dead: reconstruction of expressive faces from skull data
ACM SIGGRAPH 2003 Papers
Active Appearance Models Revisited
International Journal of Computer Vision
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Real Time 3D Face Pose Tracking From an Uncalibrated Camera
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Local distance preservation in the GP-LVM through back constraints
ICML '06 Proceedings of the 23rd international conference on Machine learning
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
The Journal of Machine Learning Research
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Dynamic vs. Static Recognition of Facial Expressions
AmI '08 Proceedings of the European Conference on Ambient Intelligence
Too real for comfort? Uncanny responses to computer generated faces
Computers in Human Behavior
EAVA: A 3D Emotive Audio-Visual Avatar
WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
Combining Facial Appearance and Dynamics for Face Recognition
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Gabor-based dynamic representation for human fatigue monitoring in facial image sequences
Pattern Recognition Letters
Speech-Driven Facial Animation Using a Shared Gaussian Process Latent Variable Model
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Learning personal specific facial dynamics for face recognition from videos
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Gaussian process latent variable models for human pose estimation
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Real-time combined 2D+3D active appearance models
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Improving dynamic facial expression recognition with feature subset selection
Pattern Recognition Letters
Dynamic soft encoded patterns for facial event analysis
Computer Vision and Image Understanding
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The modelling and understanding of the facial dynamics of individuals is crucial to achieving higher levels of realistic facial animation. We address the recognition of individuals through modelling the facial motions of several subjects. Modelling facial motion comes with numerous challenges including accurate and robust tracking of facial movement, high dimensional data processing and non-linear spatial-temporal structural motion. We present a novel framework which addresses these problems through the use of video-specific Active Appearance Models (AAM) and Gaussian Process Latent Variable Models (GP-LVM). Our experiments and results qualitatively and quantitatively demonstrate the framework's ability to successfully differentiate individuals by temporally modelling appearance invariant facial motion. Thus supporting the proposition that a facial activity model may assist in the areas of motion retargeting, motion synthesis and experimental psychology.