3D motion recovery via affine epipolar geometry
International Journal of Computer Vision
Synthesizing realistic facial expressions from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing 3-D head orientation from a monocular image sequence
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
3D Head Pose Estimation without Feature Tracking
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Predictive head movement tracking using a Kalman filter
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
Facial Expression Analysis under Various Head Poses
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
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In this paper, a robust head pose estimation algorithm is presented. In contrast with other approaches, the proposed algorithm adopts textured polygonal model generated from two orthogonal views for accurate head pose estimation. To achieve robust estimation under varying illumination, local correlation coefficient is taken as the similarity measure. The tracking is further improved by modeling head dynamics with Kalman filtering. Preliminary simulation results indicate that the proposed algorithm can reliably estimate the head pose under large rotation angles with varying illumination, and the average estimation error are all below 4 degrees.