A New Data Fusion Method for Scanned Models

This paper introduces a high- and low-resolution data integration method for scanning systems. The high-resolution data captured by a touch probe on a CMM, in the form of geometric features, and the low-resolution laser scanned model, in the form of triangulated mesh, are sent to a CAD software. The two model types are first integrated into a unique coordinate system and then unified into a precise CAD model. Depending on the part complexity, some or all of the modelling process can be done automatically. This data fusion method enhances the flexibility of scanning while maintaining the accuracy of the results.

[1]  Glenn H. Tarbox,et al.  Planning for Complete Sensor Coverage in Inspection , 1995, Comput. Vis. Image Underst..

[2]  RR Martin,et al.  Data reduction for reverse engineering , 1997 .

[3]  Yutaka Ohtake,et al.  Polyhedral surface smoothing with simultaneous mesh regularization , 2000, Proceedings Geometric Modeling and Processing 2000. Theory and Applications.

[4]  Chia-Hsiang Menq,et al.  Multiple-sensor integration for rapid and high-precision coordinate metrology , 2000 .

[5]  Seokbae Son,et al.  Automated laser scanning system for reverse engineering and inspection , 2002 .

[6]  Ralph R. Martin,et al.  Approximate symmetry detection for reverse engineering , 2001, SMA '01.

[7]  Chia-Hsiang Menq,et al.  Automatic camera calibration for a multiple-sensor integrated coordinate measurement system , 2001, IEEE Trans. Robotics Autom..

[8]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Ralph R. Martin,et al.  Reverse engineering of geometric models - an introduction , 1997, Comput. Aided Des..

[10]  D Dirksen,et al.  [Computer-assisted development of epitheses after optical recording of facial defects]. , 2002, Biomedizinische Technik. Biomedical engineering.

[11]  Youfu Li,et al.  Method for determining the probing points for efficient measurement and reconstruction of freeform surfaces , 2003 .

[12]  Hartmut Noltemeier,et al.  Geometric Modelling , 1998, Computing Supplement.

[13]  V. H. Chan,et al.  A multi-sensor approach to automating co-ordinate measuring machine-based reverse engineering , 2001 .

[14]  Andrew W. Fitzgibbon,et al.  Simultaneous Registration of Multiple Range Views for Use in Reverse Engineering of CAD Models , 1998, Comput. Vis. Image Underst..

[15]  Geraint W Owen,et al.  A laser scanning registration technique for reverse engineering applications , 2005 .

[16]  Ho-Chan Kim,et al.  STL File Generation with Data Reduction by the Delaunay Triangulation Method in Reverse Engineering , 2002 .

[17]  Crtomir Oblonsek,et al.  A Fast Surface-Based Procedure for Object Reconstruction from 3D Scattered Points , 1998, Comput. Vis. Image Underst..

[18]  T. Suk,et al.  Data Reduction Methods for Reverse Engineering , 2001 .

[19]  Franc¸ois Blais,et al.  Review of 20 years of range sensor development , 2003, IS&T/SPIE Electronic Imaging.

[20]  Hong-Tzong Yau,et al.  Automated precision measurement of surface profile in CAD-directed inspection , 1992, IEEE Trans. Robotics Autom..

[21]  Colin Bradley,et al.  A Complementary Sensor Approach to Reverse Engineering , 2001 .

[22]  Han Tong Loh,et al.  Modelling cloud data using an adaptive slicing approach , 2004, Comput. Aided Des..