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Novel Image-Based 3D Reconstruction of the Human Jaw using Shape from Shading and Feature Descriptors
Author(s) -
Aly Abdelrahim,
Mostafa A. Abdelrahman,
Hossam E. Abd El Munim,
Aly A. Farag,
Michael E. Miller
Publication year - 2011
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.25.41
Subject(s) - computer vision , artificial intelligence , computer science , feature (linguistics) , 3d reconstruction , shading , surface reconstruction , photometric stereo , iterative reconstruction , surface (topology) , image (mathematics) , calibration , solid modeling , computer graphics (images) , mathematics , philosophy , linguistics , statistics , geometry
In this paper, we propose a novel approach for 3D surface reconstruction of the human jaw. Due to the difficulties of setting up a data acquisition system inside the mouth, we use an intra-oral camera to capture a sequence of calibrated images. These images are registered together to build a panoramic view of the jaw. We incorporate a shape from shading(SFS) algorithm that benefits from camera calibration parameters to build a 3D model from the panoramic image obtained from the previous stage. Our approach results in a 3D surface which has more fine details compared with those resulting from other literature techniques. We will demonstrate different artificial jaws surfaces reconstruction to show the efficiency of our system.

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