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A Robust Initial Matching Scheme for Free-Form Object Geometry

[+] Author Affiliations
Hsi-Yung Steve Feng

The University of British Columbia, Vancouver, BC, Canada

Daoshan OuYang

Husky Injection Molding Systems Ltd., Bolton, ON, Canada

Nimun A. Jahangir

Ontario Power Generation, Pickering, ON, Canada

Hao Song

Virtualwind Inc., Calgary, AB, Canada

Paper No. DETC2009-86431, pp. 463-472; 10 pages
doi:10.1115/DETC2009-86431
From:
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4899-9 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME

abstract

The problem of matching two point cloud data sets, or identifying the correct rigid-body transformation between them, arises in various areas such as manufacturing inspection and object recognition. Existing methods establish the correspondence between the two data sets via the measure of shortest Euclidean distance and rely on an iterative procedure to converge to the solution. The effectiveness of such methods is highly dependent on the initial condition for the numerical iteration. This paper proposes a robust scheme to automatically generate the needed initial matching condition. The initial matching scheme undertakes the alignment in a global manner and yields a rough match of the data sets. Instead of directly minimizing the distance measure between the data sets, the focus of the initial matching is on the alignment of shape features. This is achieved by evaluating Delaunay pole spheres for the point cloud data sets and analyzing their distributions to map out the intrinsic features of the underlying surface shape. The initial matching result is then fine-tuned by the final matching step via existing methods such as the iterative closest point method. Extensive case studies have shown that the proposed initial matching scheme is able to significantly improve the matching accuracy.

Copyright © 2009 by ASME

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