Title :
Adaptive parameterization for reconstruction of 3D freeform objects from laser-scanned data
Author :
Fischer, A. ; Manor, A. ; Barhak, Y.
Author_Institution :
Dept. of Mech. Eng., Israel Inst. of Technol., Haifa, Israel
Abstract :
This paper proposes a new adaptive parametrization method to overcome the problems of using laser scanners in Reverse Engineering. The method is based on the following stages: (a) Detecting a 3D boundary of the parametric base surface by matching an intensity image from a CCD camera with the scanned data. (b) Adaptively reconstructing a parametric base surface with a non-self intersecting grid, based on a PDE method (c) Calculating the parametrization of the 3D sampled points. (d) Fitting the surface by applying a least square (LSQ) approximation method with boundary constraints. The feasibility of the parametrization algorithm is demonstrated on several examples using sculptured free objects
Keywords :
CAD/CAM; edge detection; image reconstruction; least squares approximations; reverse engineering; 3D freeform objects reconstruction; 3D sampled points; adaptive parameterization; intensity image; laser scanners; laser-scanned data; least square approximation method; parametric base surface; parametrization algorithm; reverse engineering; sculptured free objects; Approximation methods; Charge coupled devices; Charge-coupled image sensors; Image reconstruction; Least squares approximation; Reverse engineering; Surface fitting; Surface reconstruction;
Conference_Titel :
Computer Graphics and Applications, 1999. Proceedings. Seventh Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7695-0293-8
DOI :
10.1109/PCCGA.1999.803362
