A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Interactive segmentation with Intelligent Scissors
Graphical Models and Image Processing
Automatic, Accurate Surface Model Inference for Dental CAD/Cam
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Modeling of a Fitting Inlay from Various Informations
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Computer Modeling For The Occlusal Surface Of Teeth
CGI '96 Proceedings of the 1996 Conference on Computer Graphics International
Mastering Cad/Cam
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Computers in Biology and Medicine
Dental inlay and onlay construction by iterative Laplacian Surface Editing
SGP '08 Proceedings of the Symposium on Geometry Processing
A new and fast contour-filling algorithm
Pattern Recognition
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Reconstruction of the tooth occlusal surface is an important aspect of dental CAD systems. The design surface should fit to the existing tooth articulation and keep the morphological features of the generic teeth. This paper presents the use of a 3D morphing technique to reconstruct the missing inlay or crown occlusal surface. This method involves three necessary steps of tooth cavity contour extraction, feature points identification and tooth surface deformation. Because the missing occlusal surface is often determined by the outline of the cavity inside the remaining tooth, the cavity contour is tracked firstly by a 3D optimal path searching algorithm. Then through identifying a number of corresponding feature points on the standard tooth and the remaining tooth by a Snake model algorithm, the method uses a mapping function called Radial Basis Function (RBF) to define the spatial relations of all points in both teeth, and interpolate the intermediate feature positions, such that the standard tooth surface is deformed into alignment, and the missing surface is determined. This presents a direct and simple method to automatically reconstruct the occlusal surface. The corresponding features are fully considered in the morphing algorithm, consequently the morphological features of the tooth are well retained.