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

Content Provider	IEEE Xplore Digital Library
Author	Abdelrahim, A.S. El-Melegy, M.T. Farag, A.A.
Copyright Year	2012
Description	Author affiliation: University of Louisville, CVIP Lab, Louisville, KY 40292, USA (Abdelrahim, A.S.; El-Melegy, M.T.; Farag, A.A.)
Abstract	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.
Starting Page	64
Ending Page	69
File Size	680682
Page Count	6
File Format	PDF
ISBN	9781467316118
ISSN	21607508
e-ISBN	9781467316125
e-ISBN	9781467316101
DOI	10.1109/CVPRW.2012.6239249
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Humans Teeth Cameras Surface roughness Rough surfaces Light sources
Content Type	Text
Resource Type	Article

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