Video reconstructions in dentistry - Teeth Laser Whitening

Video reconstructions in dentistry
Issue online:
11 Aug 2003
To cite this article: AA Farag, A Eid (2003)
Video reconstructions in dentistry
Orthodontics & Craniofacial Research 6 (s1), 108Ò116.
doi:10.1034/j.1600-0544.2003.243.x
Blackwell Synergy

AA Farag and A Eid

Electrical and computer Engineering Department, University of Louisville, Louisville, KY USA

Prof. Aly A. Farag
Computer Vision and Image Processing Laboratory, University of Louisville Louisville, KY 40292, USA
Fax: +1 502 8521580
E-mail: farag@cvip.louisville.edu

Structured Abstract

Authors ÒFarag AA, Eid A

Objectives ÒTo present two practical techniques for three-dimensional (3D) modeling of the human jaw from a sequence of intra-oral images.

Design ÒA data acquisition system consists of: 3D digitizing arm, CCD camera and a laser projector in addition to a software module of two 3D modeling techniques; shape from shading (SFS) and space carving (SC).

Setting and sample population ÒSeveral experiments have been conducted on a sample of students at the Computer Vision and Image Processing (CVIP) Laboratory at the University of Louisville, Louisville, KY. Other experiments were performed on solid models of human jaw.

Experimental variable ÒThe SFS technique, using perspective projection and camera calibration, extracts the 3D information from a sequence of two-dimensional images of the jaw. Data fusion of range data and 3D registration techniques develop the complete jaw model. The SC approach is implemented on a sequence of calibrated images. On the two reconstructions, we fit a mesh model to the data, in order to create a solid 3D model.

Outcome measure ÒThe accuracy of the reconstructed 3D model of human jaw is calculated based on the measurements on real jaws.

Results ÒThe SFS-based technique seems to provide more faithful information about the shape of the tooth tops. However, the SC algorithm successfully reconstructed 3D models of the human jaw with sub-millimeter accuracy, which is as accurate as (or even better than) the first technique without using any range measurements or laser projectors. The average error in distance calculation was found to be 0.74 mm, which is an acceptable resolution for many orthodontics and maxillofacial applications.

Conclusion ÒAccurate 3D reconstruction of the human jaw enables many orthodontics and dental imaging research findings to be applied directly to a digital jaw model Ò not to a cast Ò using computer vision and medical imaging tools.

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