Method for obtaining a position match of 3d data sets in a dental cad/cam system

Abstract

A method for designing tooth surfaces of a digital dental prosthetic item using a first 3D model of a preparation site and/or of a dental prosthetic item and a second 3D model. The second model comprises regions matching some regions on the first 3D model and regions differing from other regions of the first 3D model. The non-matching regions contain surface information. At least three pairs of corresponding points are selected on the matching region on the first 3D model and second 3D model. The positional correlation of the second 3D model with reference to the first 3D model is determined based on the at least three pairs, and portions of the non-matching regions of the first and second 3D models are implemented for designing the tooth surface prosthetic item taking into consideration the based on the positional correlation of these models relative to each other.

1 . A method for designing tooth surfaces of a digital dental prosthetic item existing as a 3D data set using a first 3D model of a preparation site and/or of a dental prosthetic item and a second 3D model, which second model comprises regions which match some regions on the first 3D model and regions which differ from other regions of said first 3D model, the non-matching regions containing some of the surface information required for the dental prosthetic item, comprising the steps of selecting at least three pairs (P 1 , P 2 , P 3 ) of points (P 11 , P 12 ; P 21 , P 22 ; P 31 , P 32 ) corresponding to each other are selected on the matching region on the first 3D model (A) and the second 3D model (A′), that the positional correlation of said second 3D model with reference to said first 3D model is determined with reference to said at least three pairs (P 1 , P 2 , P 3 ), and that portions of the non-matching regions of said first and second 3D models are implemented for designing the tooth surface of the dental prosthetic item taking into consideration the positional correlation of these models relative to each other. 
     
     
         2 - 16 . (canceled)