Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
Appearance-based Eye Gaze Estimation
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Facial expression recognition using a dynamic model and motion energy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Recognition of human head orientation based on artificial neural networks
IEEE Transactions on Neural Networks
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We propose a hierarchical scheme of tracking facial regions in video sequences. The hierarchy uses the face structure, facial regions and their components, such as eyes and mouth, to achieve improved robustness against structural deformations and the temporal loss of image components due to, e.g., self-occlusion. The temporal deformation of facial eye regions is mapped to estimate the head orientation around the yaw axis. The performance of the algorithm is demonstrated for free head motions.