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Definition of a Model-Based Detector of Curvilinear Regions

  • Cédric Lemaitre
  • Johel Miteran
  • Jiri Matas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)

Abstract

This paper describes a new approach for detection of curvilinear regions. These features detection can be useful for any matching based algorithm such as stereoscopic vision. Our detector is based on curvilinear structure model, defined observing the real world. Then, we propose a multi-scale search algorithm of curvilinear regions and we report some preliminary results.

Keywords

Repeatability Study Stereoscopic Vision Road Extraction Salient Region Detector Curvilinear Structure 
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 2007

Authors and Affiliations

  • Cédric Lemaitre
    • 1
  • Johel Miteran
    • 1
  • Jiri Matas
    • 2
  1. 1.LE2I Faculté Mirande Aile H. Université de Bourgogne BP 47870 21078 Dijon 
  2. 2.Center for Machine Perception, Dept.of Cybernetics, CTU Prague, Karlovo nam 13, CZ 12 135 

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