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Proceedings Paper

Automated photogrammetric system for photorealistic skull 3D reconstruction
Author(s): Vladimir A. Knyaz; Sergey Yu. Zheltov; Dmitry G. Stepanyants
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Paper Abstract

Wide variety of medical and archeological applications has a demand for skull geometric parameter measurements. Traditional contact measurement technique has some disadvantages such as low accuracy and a need for real skull for processing. Applying of photogrammetric method for non- contact spatial coordinates determination and 3D model generation allows to provide high precision and conventional interface for expert. However, the problem of textured human skull 3D reconstruction seems to be rather complicated concerning the following aspects. The human skull is a real 3D object, which can not be reconstructed basing on single stereo pair. The way of whole 3D model reconstruction basing on acquiring a set of stereo images covered the whole object surface is time consuming and requires a special mean for integration of obtained 2.5D fragments into united 3D model. Another requirement to skull 3D model is to provide for the expert the possibility of easy finding the object point, which has to be measured. Accurate photorealistic texture mapping can satisfy this requirement. The paper presents the approach, which provides high performance automated skull 3D reconstruction along with accurate texture generation. The system developed includes three CCD cameras, Pentium personal computer equipped with frame grabbers, structural light projector and PC-controlled turnable.

Paper Details

Date Published: 22 December 2000
PDF: 10 pages
Proc. SPIE 4309, Videometrics and Optical Methods for 3D Shape Measurement, (22 December 2000); doi: 10.1117/12.410892
Show Author Affiliations
Vladimir A. Knyaz, State Research Institute of Aviation Systems (Russia)
Sergey Yu. Zheltov, State Research Institute of Aviation Systems (Russia)
Dmitry G. Stepanyants, State Research Institute of Aviation Systems (Russia)

Published in SPIE Proceedings Vol. 4309:
Videometrics and Optical Methods for 3D Shape Measurement
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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