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Proceedings Paper

Virtual face reconstruction based on 3D skull model
Author(s): Vladimir A. Knyaz; Sergey Yu. Zheltov; Dmitry G. Stepanyants; Elena B. Saltykova
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Paper Abstract

The problem of human face shape reconstruction basing on information about human skull is very important for many applications beginning with archeology and finishing with crime expertise. Recent progress in development of 3D scanning system provides the means and techniques for generation of metric 3D models for a skull thus creating a background for development a method for automated unknown human face virtual reconstruction. The paper presents the method, hardware, and original software for reconstruction of human face basing on metric skull 3D model. Skull 3D model is obtained using PC-based digital photogrammetric system for automated skull 3D reconstruction. It allows generating a whole textured metric skull 3D model by one step using images from three CCD cameras while turntable rotating. The proposed method for unknown face 3D reconstruction is based on the suppositions that every skull can be described by a set of reference points corresponding to a reference point set on a human face and that an arbitrary face 3D model can be transformed into reconstructed face by some kind of deformation with restriction on given tissue depth at the reference points. The description of the developed method and some results of the proposed technique applying are presented.

Paper Details

Date Published: 8 March 2002
PDF: 9 pages
Proc. SPIE 4661, Three-Dimensional Image Capture and Applications V, (8 March 2002); doi: 10.1117/12.460172
Show Author Affiliations
Vladimir A. Knyaz, State Research Institute for Aviation Systems (Russia)
Sergey Yu. Zheltov, State Research Institute for Aviation Systems (Russia)
Dmitry G. Stepanyants, State Research Institute for Aviation System (Russia)
Elena B. Saltykova, State Research Institute for Aviation Systems (Russia)

Published in SPIE Proceedings Vol. 4661:
Three-Dimensional Image Capture and Applications V
Brian D. Corner; Roy P. Pargas; Joseph H. Nurre, Editor(s)

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