Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
IEEE Transactions on Circuits and Systems for Video Technology
Estimating face pose by facial asymmetry and geometry
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A robust 3d face pose estimation and facial expression control for vision-based animation
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Active vision for controlling an electric wheelchair
Intelligent Service Robotics
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Head motion determination is an important problem for many applications including face modeling and tracking. We present a new algorithm to compute the head motion between two views from the correspondences of five feature points (eye corners, mouth corners and nose tip), and zero or more additional image point matches. The algorithm takes advantage of the physical properties of the feature points, such as symmetry, and it significantly improves the robustness of head motion estimation. This is achieved by reducing the number of unknowns to be estimated, thus increasing information redundancy. This idea can be easily extended to any number of feature point correspondences.