HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS

Catherine Herold, Vincent Despiegel, Stéphane Gentric, Séverine Dubuisson, Isabelle Bloch

2012

Abstract

We present a particle filter algorithm to optimize the static shape parameters of a given face observed under multiple views and during time. Our goal is to determine the 3D shape of the head given these observations, by selecting the most suitable deformation parameters. The main idea of our method is to integrate the unknown static parameters in the particle filter hidden state and to filter and modify these parameter values given the recursively incoming observations. We propose here a comparative study of different variants of this approach evaluated on synthetic data. These results show the potential given by this type of particle based methods, which have mainly been presented from a theoretical point of view until now. We conclude with a discussion on the adaptation of these methods to real data sequences.

References

  1. Andrieu, C., Doucet, A., and Tadic, V. B. (2005). Online parameter estimation in general state-space models. Proc. IEEE Conf. on Decision and Control, pages 332-337.
  2. Blanz, V. and Vetter, T. (1999). A Morphable Model for the Synthesis of 3D Faces. In SIGGRAPH, pages 187- 194.
  3. Doucet, A., Godsill, S., and Andrieu, C. (2000). On Sequential Monte Carlo Sampling Methods for Bayesian Filtering. Statistics and Computing, 10(3):197-208.
  4. Fearnhead, P. (2002). MCMC, Sufficient Statistics and Particle Filters. Journal of Computational and Graphical Statistics, 11(4):848-862.
  5. Gilks, W. R. and Berzuini, C. (2001). Following a Moving Target - Monte Carlo Inference for Dynamic Bayesian Models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(1):127-146.
  6. Isard, M. and Blake, A. (1998). Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5-28.
  7. Kantas, N., Doucet, A., Singh, S. S., and Maciejowski, J. M. (2009). An Overview of Sequential Monte Carlo Methods for Parameter Estimation in General State-Space Models. Proc. IFAC System Identification SySid Meeting, (Ml).
  8. Minvielle, P., Doucet, A., Marrs, A., and Maskell, S. (2010). A Bayesian Approach to Joint Tracking and Identification of Geometric Shapes in Video Sequences. Image and Vision Computing, 28(1):111-123.
  9. Romdhani, S. and Vetter, T. (2005). Estimating 3D Shape and Texture using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior. In Proc. Computer Vision and Pattern Recognition, pages 986- 993.
  10. Storvik, G. (2002). Particle Filters for State-Space Models with the Presence of Unknown Static Parameters. IEEE Trans. on Signal Processing, 50(2):281-289.
  11. Umeyama, S. (1991). Least-Squares Estimation of Transformation Parameters Between Two Point Patterns. IEEE Trans. on Pattern Analysis and Machine Intelligence, 13(4):376-380.
  12. Van Rootseler, R. T. A., Spreeuwers, L. J., and Veldhuis, R. N. J. (2011). Application of 3D Morphable Models to Faces in Video Images. In Symp. on Information Theory in the Benelux, pages 34-41.
Download


Paper Citation


in Harvard Style

Herold C., Despiegel V., Gentric S., Dubuisson S. and Bloch I. (2012). HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 284-293. DOI: 10.5220/0003855002840293


in Bibtex Style

@conference{visapp12,
author={Catherine Herold and Vincent Despiegel and Stéphane Gentric and Séverine Dubuisson and Isabelle Bloch},
title={HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={284-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003855002840293},
isbn={978-989-8565-04-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS
SN - 978-989-8565-04-4
AU - Herold C.
AU - Despiegel V.
AU - Gentric S.
AU - Dubuisson S.
AU - Bloch I.
PY - 2012
SP - 284
EP - 293
DO - 10.5220/0003855002840293