Visual Human-Machine Interaction
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
A Robust Algorithm for 3D Head Pose Estimation
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A feature-based approach for segmenting faces
Machine Graphics & Vision International Journal
3D model-based 6-DOF head tracking by a single camera for human-robot interaction
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Towards hands-free interfaces based on real-time robust facial gesture recognition
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
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People naturally express themselves through facial gestures and expressions. Our goal is to build a facial gesture human-computer interface for use in robot applications. We have implemented an interface that tracks a person's facial features in real time (30Hz). Our system does not require special illumination nor facial makeup. By using multiple Kalman filters we accurately predict and robustly track facial features. This is despite disturbances and rapid movements of the head (including both translational and rotational motion). Since we reliably track the face in real-time we are also able to recognize motion gestures of the face. Our system can recognize a large set of gestures (13) ranging from "yes", "no" and "may be" to detecting winks, blinks and sleeping.