Sensor fusion of 2D and 3D data for the processing of images of dental imprints

Jean-Francois Methot; Marielle Mokhtari; Denis Laurendeau; Denis Poussart

doi:10.1117/12.150168

20 August 1993 Sensor fusion of 2D and 3D data for the processing of images of dental imprints

Jean-Francois Methot, Marielle Mokhtari, Denis Laurendeau, Denis Poussart

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150168
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

This paper presents a computer vision system for the acquisition and processing of 3-D images of wax dental imprints. The ultimate goal of the system is to measure a set of 10 orthodontic parameters that will be fed to an expert system for automatic diagnosis of occlusion problems. An approach for the acquisition of range images of both sides of the imprint is presented. Range is obtained from a shape-from-absorption technique applied to a pair of grey-level images obtained at two different wavelengths. The accuracy of the range values is improved using sensor fusion between the initial range image and a reflectance image from the pair of grey-level images. The improved range image is segmented in order to find the interstices between teeth and, following further processing, the type of each tooth on the profile. Once each tooth has been identified, its accurate location on the imprint is found using a region- growing approach and its shape is reconstructed with third degree polynomial functions. The reconstructed shape will be later used by the system to find specific features that are needed to estimate the orthodontic parameters.

Citation Download Citation

Jean-Francois Methot, Marielle Mokhtari, Denis Laurendeau, and Denis Poussart "Sensor fusion of 2D and 3D data for the processing of images of dental imprints", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150168

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