Craniofacial reconstruction as a prediction problem using a Latent Root Regression model

Abstract : In this paper, we present a computer-assisted method for facial reconstruction. This method provides an estimation of the facial shape associated with unidentified skeletal remains. Current computer-assisted methods using a statistical framework rely on a common set of extracted points located on the bone and soft-tissue surfaces. Most of the facial reconstruction methods then consist of predicting the position of the soft-tissue surface points, when the positions of the bone surface points are known. We propose to use Latent Root Regression for prediction. The results obtained are then compared to those given by Principal Components Analysis linear models. In conjunction, we have evaluated the influence of the number of skull landmarks used. Anatomical skull landmarks are completed iteratively by points located upon geodesics which link these anatomical landmarks, thus enabling us to artificially increase the number of skull points. Facial points are obtained using a mesh-matching algorithm between a common reference mesh and individual soft-tissue surface meshes. The proposed method is validated in term of accuracy, based on a leave-one-out cross-validation test applied to a homogeneous database. Accuracy measures are obtained by computing the distance between the original face surface and its reconstruction. Finally, these results are discussed referring to current computer-assisted reconstruction facial techniques.
Type de document :
Article dans une revue
Forensic Science International, Elsevier, 2011, 210 (1-3), pp.228 - 236. <10.1016/j.forsciint.2011.03.010>
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-00669491
Contributeur : Maxime Berar <>
Soumis le : lundi 13 février 2012 - 12:36:00
Dernière modification le : mardi 11 octobre 2016 - 14:22:14
Document(s) archivé(s) le : lundi 14 mai 2012 - 02:30:08

Fichiers

TRGR.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Maxime Berar, Françoise Tilotta, Joan Alexis Glaunès, Yves Rozenholc. Craniofacial reconstruction as a prediction problem using a Latent Root Regression model. Forensic Science International, Elsevier, 2011, 210 (1-3), pp.228 - 236. <10.1016/j.forsciint.2011.03.010>. <hal-00669491>

Partager

Métriques

Consultations de
la notice

168

Téléchargements du document

288