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Assessing the Computational Effort for Structural 3D Vehicle Recognition

  • Eckart Michaelsen
  • Uwe Stilla
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

A model based structural recognition approach is used for 3D detection and localization of vehicles. It is theoretically founded by syntactic pattern recognition using coordinate grammars and depicted by production nets. The computational effort significantly depends on certain tolerance parameters and the distribution of input data in the attribute domain. A brief theoretical survey of these interrelations is accompanied by comparing the performance on synthetic random data to the performance on data from different natural environments.

Keywords

Computational Effort Object Type Aerial Image Tolerance Parameter Attribute Domain 
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 2000

Authors and Affiliations

  • Eckart Michaelsen
    • 1
  • Uwe Stilla
    • 1
  1. 1.FGAN-FOM Research Institute for Optronics and Pattern RecognitionEttlingenGermany

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