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Proceedings Paper

Robust 3D reconstruction system for human jaw modeling
Author(s): Sameh M. Yamany; Aly A. Farag; David Tazman; Allan G. Farman
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Paper Abstract

This paper presents a model-based vision system for dentistry that will replace traditional approaches used in diagnosis, treatment planning and surgical simulation. Dentistry requires accurate 3D representation of the teeth and jaws for many diagnostic and treatment purposes. For example orthodontic treatment involves the application of force systems to teeth over time to correct malocclusion. In order to evaluate tooth movement progress, the orthodontists monitors this movement by means of visual inspection, intraoral measurements, fabrication of plastic models, photographs and radiographs, a process which is both costly and time consuming. In this paper an integrate system has been developed to record the patient's occlusion using computer vision. Data is acquired with an intraoral video camera. A modified shape from shading (SFS) technique, using perspective projection and camera calibration, is used to extract accurate 3D information from a sequence of 2D images of the jaw. A new technique for 3D data registration, using a Grid Closest Point transform and genetic algorithms, is used to register the SFS output. Triangulization is then performed, and a solid 3D model is obtained via a rapid prototype machine.

Paper Details

Date Published: 8 March 1999
PDF: 11 pages
Proc. SPIE 3640, Three-Dimensional Image Capture and Applications II, (8 March 1999); doi: 10.1117/12.341054
Show Author Affiliations
Sameh M. Yamany, Univ. of Louisville (United States)
Aly A. Farag, Univ. of Louisville (United States)
David Tazman, Univ. of Louisville (United States)
Allan G. Farman, Univ. of Louisville (United States)


Published in SPIE Proceedings Vol. 3640:
Three-Dimensional Image Capture and Applications II
Joseph H. Nurre; Brian D. Corner, Editor(s)

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