Title :
Shape from shading for hybrid surfaces as applied to tooth reconstruction
Author :
Carter, Cambron N. ; Pusateri, Rosario J. ; Chen, Dongqing ; Ahmed, Abdelreheim H. ; Farag, Aly A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA
Abstract :
Accurate 3-D modeling of the human teeth helps patients avoid the discomfort of the mold process, and improves the data accuracy for oral surgeons, orthodontists and dental care personnel. Since the surface of the human tooth is almost textureless, Shape from Shading (SFS) has been successfully adopted in solving this problem. This paper evaluates 3-D tooth reconstruction using three SFS models. Based on quantitative error analysis and curvature analysis using Robust Point Matching (RPM) and visualization results, the assumption of a perspective camera projection and an Oren-Nayar reflectance model has been proved to be the most ideal for extracting crown information from an image of a human tooth. Three reconstructed teeth have been shown to demonstrate the performance of this model.
Keywords :
dentistry; image matching; medical image processing; orthotics; patient treatment; shape recognition; 3D tooth reconstruction; Oren-Nayar reflectance; SFS models; curvature analysis; dental care personnel; human tooth surface; hybrid surface shading; mold process; oral surgeons; orthodontists; patient treatment; perspective camera projection; quantitative error analysis; robust point matching; shape from shading; visualization; Equations; Image reconstruction; Mathematical model; Shape; Solid modeling; Surface reconstruction; Teeth; 3-D Tooth Reconstruction; Hybrid Surface; Oren-Nayar Diffuse Reflection Model; Shape from Shading (SFS);
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5653040