CT-based Robust Statistical Shape Modeling for Forensic Craniofacial Reconstruction

4th International Conference on Imaging for Crime Detection and Prevention 2011, ICDP 2011

Volumn , Issue , 2011, Pages

  Bruynooghe, E ^a   Keustermans, J ^a   Smeets, D ^a   Tilotta, F ^b   Claes, P ^a   Vandermeulen, D ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CRIME; DEGREES OF FREEDOM (MECHANICS); LINEAR TRANSFORMATIONS; MEAN SQUARE ERROR; TISSUE;

CRANIOFACIAL; CRANIOFACIAL RECONSTRUCTION; FORENSIC INVESTIGATION; LINEAR COMBINATIONS; MODE OF DEFORMATION; SOFT TISSUE; STATISTIC MODELING; STATISTICAL SHAPE MODEL; TRANSFORMATION MODELING; WARPINGS;

COMPUTERIZED TOMOGRAPHY;

EID: 84888780941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. P. Claes, D. Vandermeulen, S. De Greef, G. Willems, J. G. Clement, and P. Suetens, “Bayesian estimation of optimal craniofacial reconstructions,” Forensic Science International, vol. 201, pp. 146–152, Sep 2010.
2. P. Claes, D. Vandermeulen, S. De Greef, G. Willems, and P. Suetens, “Craniofacial reconstruction using a combined statistical model of face shape and soft tissue depths: methodology and validation,” Forensic Science International, vol. 159 Suppl 1, pp. 147–158, May 2006.
3. D. Vandermeulen, P. Claes, D. Loeckx, S. De Greef, G. Willems, and P. Suetens, “Computerized craniofacial reconstruction using ct-derived implicit surface representations,” Forensic Science International, vol. 159 Suppl 1, pp. 164–174, May 2006.
4. P. Vanezis, M. Vanezis, G. McCombe, and T. Niblett, “Facial reconstruction using 3-d computer graphics,” Forensic Science International, vol. 108, no. 2, pp. 81 – 95, 2000.
5. G. Quatrehomme, S. Cotin, G. Subsol, H. Delingette, Y. Garidel, G. Grévin, M. Fidrich, P. Bailet, and A. Ollier, “A fully three-dimensional method for facial reconstruction based on deformable models,” Journal of Forensic Sciences, vol. 42, pp. 649–652, Jul 1997.
6. P. Vanezis, R. Blowes, A. Linney, A. Tan, R. Richards, and R. Neave, “Application of 3-d computer graphics for facial reconstruction and comparison with sculpting techniques,” Forensic Science International, vol. 42, no. 1-2, pp. 69 – 84, 1989.
7. J. Rhine and C. Moore, “Tables of facial tissue thickness of american caucasoids in forensic anthropology,” Maxwell Mus. Tech. Ser I, 1984.
8. S. De Greef, P. Claes, D. Vandermeulen, W. Mollemans, P. Suetens, and G. Willems, “Large-scale in-vivo caucasian facial soft tissue thickness database for craniofacial reconstruction,” Forensic Science International, vol. 159 Suppl 1, pp. 126–146, May 2006.
9. P. Claes, D. Vandermeulen, S. De Greef, G. Willems, J. G. Clement, and P. Suetens, “Computerized craniofacial reconstruction: Conceptual framework and review,” Forensic Science International, vol. 201, pp. 138–145, Sep 2010.
10. P. Claes, ’A robust statistical surface registration framework using implicit function representations - application in craniofacial reconstruction’, PhD thesis, K.U.Leuven, June 2007, Leuven, Belgium. KULeuven, 2007. ISBN 978-90-5682-809-7.
11. G. Turk and J. OBrien, “Variational implicit surfaces,” Techical Reports GIT-GVU-99-15, 1999.
12. J. Carr, R. Beatson, J. Cherrie, T. Mitchell, W. Fright, B. McCallum, and T. Evans, “Reconstruction and representation of 3D objects with radial basis functions,” in Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp. 67–76, ACM, 2001.
13. F. Technology, “Fastrbf toolbox, matlab interface,”
14. C. Maes, T. Fabry, J. Keustermans, D. Smeets, P. Suetens, and D. Vandermeulen, “Feature detection on 3D face surfaces for pose normalisation and recognition,” in Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on, pp. 1–6, IEEE, 2010.
15. P. Besl and N. McKay, “A method for registration of 3-d shapes,” IEEE Transactions on pattern analysis and machine intelligence, pp. 239–256, 1992.
16. J. Hug, C. Brechbühler, and G. Székely, “Tamed snake: A particle system for robust semi-automatic segmentation,” in Medical Image Computing and Computer-Assisted Intervention–MICCAI99, pp. 106–115, Springer, 1999.
17. C. Stephan, “Do resemblance ratings measure the accuracy of facial approximations?,” Journal of forensic sciences, vol. 47, no. 2, p. 239, 2002.