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High Accuracy Edge Matching with an Extension of the MPGC-Matching Algorithm

  • Armin Gruen
  • Dirk Stallmann
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 108)

Abstract

In industrial dimensional inspection and quality control there is an increasing need for fast and automatic high accuracy measurement systems. For vision systems to match these requirements all system components have to be tuned carefully. A key role in such a system is played by the measurement algorithm. This paper demonstrates how the area-based Multi-Photo Geometrical Constrained (MPGC) matching algorithm can be modified for the highly accurate measurement of object edges. It can be expected that this algorithm allows the measurement of non-targeted, but well-defined object features with a relative accuracy of 1:25000.

Keywords

Image Edge Object Point Edge Match Edge Tracking Object Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Armin Gruen
    • 1
  • Dirk Stallmann
    • 1
  1. 1.Institute of Geodesy and Photogrammetry ETH-HoenggerbergZurichSwitzerland

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