Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Horprasert, T., Yacoob, Y., Davis, L.: Computing 3-D Head Orientation from Monocular Image Sequence. Int. Conf. Face and Gesture Recognition. (1996) 242–247
Liu, Z., Zhang, Z., Jacobs, C., Cohen, M.: Rapid Modeling of Animated Faces From Video. Proc. of the 3rd Int. Conf. Visual Computing. (2000) 58–67
Jebara, T., Azarbayejani, A., Pentland, A.: 3D Structure from 2D Motion. IEEE Signal Processing Magazine, Vol. 16, No. 3. (1999) 66–84
Chen, Q., Wu, H., Fukumoto, T., Yachida, M.: 3D Head Pose Estimation without Feature Tracking. Int. Conf. Face and Gesture Recognition. (1998) 88–93
La Cascia, M., Sclaroff, S., Athitsos, V.: Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Textured-Mapped 3D Models. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 4. (2000) 322–336
Schödl, A., Haro, A., Essa, I.: Head Tracking Using a Textured Polygonal Model. Workshop on Perceptual User Interfaces. (1998)
Eisert, P., Girod, B.: Model-based 3D Motion Estimation with Illumination Compensation. Int. Conf. Image Processing and its Applications, Vol. 1. (1997) 194–198
Cachier, P., Pennec, X.: 3D Non-Rigid Registration by Gradient Descent on a GaussianWeighted Similarity Measure Using Convolutions. Proc. of MMBIA 2000. (2000) 182–189
Chang, Y. J., Chen, C. C., Chou, J. C., Chen, Y. C.: Virtual Talk: A Model-Based Virtual Phone Using a Layered Audio-Visual Integration. Proc. IEEE Int. Conf. Multimedia and Expo, Vol. 1. (2000) 415–418
Kampmann, M., Farhoud, R.: Precise face model adaptation for semantic coding of video sequences. Proc. Picture Coding Symposium’97. (1997)
Lavagetto, F., Pockaj, R.: The Facial Animation Engine: Toward a High-Level Interface for the design of MPEG-4 Compliant Animated Faces. IEEE Trans. Circuit, System, and Video Technology, Vol. 9, No. 2. (1999) 277–289
Lee, W. S., Thalmann, N. M.: Fast Head Modeling for Animation. Image and Vision Computing, Vol. 18. (2000) 355–364
Pighin, F., Hecker, J., Lischinski, D., Szeliski, R., Salesin, D. H.: Synthesizing Realistic Facial Expressions from Photographs. Proc. SIGGRAPH’98. (1998)
Shapiro, L. S., Zisserman, A., Brady, M.: 3D Motion Recovery via Affine Epipolar Geometry. Int. J. Computer Vision, Vol. 16. (1995) 147–182
Chan, L. W., Fallside, F.: An Adaptive Training Algorithm for Back Propagation Networks. Computer Speech and Language, Vol. 2. (1987) 205–218
Kiruluta, A., Eizenman, M., Pasupathy, S.: Predictive Head Movement Tracking using a Kalman Filter. IEEE Trans. System, Man, and Cybernetics-Part B: Cybernetics, Vol. 27, No. 2. (1997) 326–331
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chang, YJ., Chen, YC. (2001). Robust Head Pose Estimation Using Textured Polygonal Model with Local Correlation Measure. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_32
Download citation
DOI: https://doi.org/10.1007/3-540-45453-5_32
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42680-6
Online ISBN: 978-3-540-45453-3
eBook Packages: Springer Book Archive