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Object Representation and Feature Matching

  • M. Bennamoun
  • G. J. Mamic
Part of the Advances in Pattern Recognition book series (ACVPR)

Abstract

Having established the utility of registration systems in developing complete 3-D models and their possible use in the pose estimation of matched objects, we now turn our attention to describing the representations and matching algorithms which have been employed by model-based recognition systems. As mentioned in Section 1.3.2, a model-based object recognition system is composed of two stages, the representational stage and the recognition stage (see Figure 1.2). The recognition stage is composed of two further sub-stages: matching and pose estimation.

Keywords

Object Recognition Hash Table Feature Match Rigid Transformation Gaussian Image 
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 London 2002

Authors and Affiliations

  • M. Bennamoun
    • 1
  • G. J. Mamic
    • 1
  1. 1.Space Centre for Satellite Navigation, School of Electrical and Electronic Systems EngineeringQueensland University of TechnologyBrisbaneAustralia

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