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Pulsed neural networks and perceptive grouping

  • Dominique Derou
  • Laurent Herault
Recognition II
Part of the Lecture Notes in Computer Science book series (LNCS, volume 800)

Abstract

Tracking elementary features and coherently grouping them is an important problem in computer vision and a real challenging feature extraction problem. Perceptual grouping techniques can be applied to some feature tracking problems. Such an approach is presented in this paper. Moreover we show how a perceptual grouping problem can be expressed as a global optimization problem. In order to solve it, we devise an original neural network, called pulsed neural network. The specific application concerned here is particle tracking velocimetry in fluid mechanics.

Keywords

Particle Tracking Perceptual Grouping Global Optimization Problem Particle Tracking Velocimetry Potential Feature 
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 1994

Authors and Affiliations

  • Dominique Derou
    • 1
  • Laurent Herault
    • 1
  1. 1.LETI-(CEA-Technologies Avancées)Grenoble Cedex 9France

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