Realistic 3D reconstruction of the human teeth using shape from shading with shape priors

Dentistry usually requires accurate 3-D representation of the teeth and jaw for diagnostic and treatment purposes. Photogrammetry can offer a flexible, cost-effective solution in that regard. In this paper, we develop an approach for realistic 3D reconstruction of the human teeth using shape from sh...

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Bibliographic Details
Published in2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops pp. 64 - 69
Main Authors Abdelrahim, A. S., El-Melegy, M. T., Farag, A. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2012
Subjects
Cameras
Humans
Light sources
Rough surfaces
Shape
Surface roughness
Teeth
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Summary:Dentistry usually requires accurate 3-D representation of the teeth and jaw for diagnostic and treatment purposes. Photogrammetry can offer a flexible, cost-effective solution in that regard. In this paper, we develop an approach for realistic 3D reconstruction of the human teeth using shape from shading with statistical shape priors. Our work has addressed several challenges including near illumination, camera perspective projection, while taking into account the deviation from the simplifying Lambertian assumption. We use the Oren-Nayar reflectance model for diffuse rough surfaces with the roughness parameter being physically measured by an optical surface profiler. Our formulation exploits the shape priors as extracted from a set of training CT scans of real human teeth. Our experiments provide quantitative metric results for the proposed approach. As compared to state-of-art SFS approaches, our approach is able to recover geometric details of a tooth occlusal surface.
ISBN:1467316113
9781467316118
ISSN:2160-7508
2160-7516
DOI:10.1109/CVPRW.2012.6239249