Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description

Wieme Gadacha, Faouzi Ghorbel

Abstract

In this paper, we intend to introduce a fast surface registration process which is independent from the original parameterization of the surface and invariant under 3D rigid transformations. It is based on a feature descriptors correspondence. Such feature descriptors are extracted from the superposition of two surfacic curves: geodesic levels and radial ones from local neighborhoods defined around reference points already picked on the surface. A study of the optimal number of those curves thanks to a generalized version of Shannon theorem is developed. Thus, the obtained discretized parametrisation (ordered descriptors) is the basis of the matching phase that becomes obvious and more robust comparing to the classic ICP algorithm. Experimentations are conducted on facial surfaces from the Bosphorus database to test the registration of both rigid and non-rigid shapes (neutral faces vs. faces with expressions). The Hausdorff distance in shape space is used as an evaluation metric to test the robustness to tessellation. The discriminative power in face description is also estimated.

References

  1. Daoudi, M. and Ghorbel, F. (1998). Shape distances for contour tracking and motion estimation. In Pattern Recognition.
  2. Dutagaci, H., Sankur, B., and Yemez, Y. (2005). Transformbased methods for indexing and retrieval of 3d objects. In Fifth international conference 3D digital imaging and modeling.
  3. Fallavollita, P. (2009). 3d/2d registration of mapping catheter images for rhythmia interventional assistance. In International Journal of Computer Sciences Issues,4.
  4. Gadacha, W. and Ghorbel, F. (2013). A stable and accurate multi-reference representation for surfaces of r3: Application to 3d faces description. In 10 IEEE International Conference on Automatic face and Gesture Recognition.
  5. Ghorbel, F. (1998). Towards a unitary formulation for invariant image description: application to image coding. In Annales des telecommunications, 53 (5-6).
  6. Hallinan, P., Gordon, G., Yuille, A., Giblin, P., and Munford, D. (1999). Two and three dimensional patterns of face. In A.K.Peters.
  7. Maalej, A., BenAmor, B., Daoudi, M., Srivastava, A., and Berretti, S. (2011). Shape analysis of local facial patches for 3d facial expression recognition. In Pattern Recognition 44 (8).
  8. Mpiperis, I., Malassiotis, S., and Strintzis, M. (2007). 3d face recognition with the geodesic polar representation. In IEEE Trans. on Information Forensics and Security 3 (2).
  9. Osada, R., Funkhouser, T., Chazelle, B., and Dobkin, D. (2001). Matching 3d models with shape distributions. In Shape Matching International. IEEE Computer Society Press.
  10. Samir, C., Srivastava, A., and Daoudi, M. (2006). Threedimensional face recognition using shapes of facial curves. In IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 28.
  11. Savran, A., Alyz, N., Dibeklioglu, H., eliktutan, O., Gkberk, B., Sankur, B., and Akarun, L. (2008). Bosphorus database for 3d face analysis. In The First COST 2101 Workshop on Biometrics and Identity Management.
  12. Scovanner, P., Ali, S., and Shah, M. (2007). A 3- dimensional sift descriptor and its application to action recognition. In 15th international conference on multimedia.
  13. Tung, T. and Schmitt, F. (2005). The augmented multiresolution reeb graph approach for content-based retrieval of 3d shapes. In Int J Shape Model 11(1).
  14. Yin, L., Wei, X., Sun, Y., Wang, J., and Rosato, M. (2006). A 3d facial expression database for facial behavior research. In 7th IEEE International Conference on Automatic face and gesture recognition.
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Paper Citation


in Harvard Style

Gadacha W. and Ghorbel F. (2014). Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 337-342. DOI: 10.5220/0004922903370342


in Bibtex Style

@conference{icpram14,
author={Wieme Gadacha and Faouzi Ghorbel},
title={Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={337-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004922903370342},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description
SN - 978-989-758-018-5
AU - Gadacha W.
AU - Ghorbel F.
PY - 2014
SP - 337
EP - 342
DO - 10.5220/0004922903370342