Real-Time 3D Face Tracking with Mutual Information and Active Contours

1. Toyama, K.: Look, ma — no hands!’ hands-free cursor control with real-time 3d face tracking (1998)

   Google Scholar 

2. Toyama, K., Hager, G.: Incremental focus of attention for robust visual tracking (1996)

   Google Scholar 

3. Lu, L., Dai, X.T., Hager, G.: A particle filter without dynamics for robust 3d face tracking. In: CVPRW 2004: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2004), vol. 5, p. 70. IEEE Computer Society, Washington, DC, USA (2004)

   Chapter  Google Scholar 

4. Vacchetti, L., Lepetit, V., Fua, P.: Stable real-time 3d tracking using online and offline information. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 1391–1391 (2004)

   Article  Google Scholar 

5. Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24, 381–395 (1981)

   Article  MathSciNet  Google Scholar 

6. Isard, M., Blake, A.: Condensation – conditional density propagation for visual tracking. International Journal of Computer Vision 29, 5–28 (1998)

   Article  Google Scholar 

7. Matthews, I., Baker, S.: Active appearance models revisited. Technical Report CMU-RI-TR-03-02, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (2003)

   Google Scholar 

8. Xiao, J., Baker, S., Matthews, I., Kanade, T.: Real-time combined 2d+3d active appearance models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 535–542 (2004)

   Google Scholar 

9. Cascia, M., Sclaroff, S., Athitsos, V.: Fast, reliable head tracking under varying illumination: An approach based on registration of texture-mapped 3d models (1999)

   Google Scholar 

10. Park, I.K., Zhang, H., Vezhnevets, V., Choh, H.K.: Image-based photorealistic 3-d face modeling. In: FGR, pp. 49–56 (2004)

    Google Scholar 

11. Viola, P.A., Jones, M.J.: Robust real-time face detection. In: ICCV, p. 747 (2001)

    Google Scholar 

12. Hanek, R., Beetz, M.: The contracting curve density algorithm: Fitting parametric curve models to images using local self-adapting separation criteria. Int. J. Comput. Vision 59, 233–258 (2004)

    Article  Google Scholar 

13. Panin, G., Ladikos, A., Knoll, A.: An efficient and robust real-time contour tracking system. In: ICVS, p. 44 (2006)

    Google Scholar 

14. Moddemeijer, R.: On estimation of entropy and mutual information of continuous distributions. Signal Processing 16, 233–246 (1989)

    Article  MathSciNet  Google Scholar 

15. Viola, P., William, M., Wells, I.: Alignment by maximization of mutual information. Int. J. Comput. Vision 24, 137–154 (1997)

    Article  Google Scholar 

16. Nelder, J., Mead, R.: A simplex method for function minimization. Computer Journal 7, 308–313 (1965)

    Google Scholar 

Download references