Definition of a model-based detector of curvilinear regions

  • Authors:
  • Cédric Lemaître;Johel Miteran;Jiří Matas

  • Affiliations:
  • LE2I Faculté Mirande Aile H. Université de Bourgogne, Dijon;LE2I Faculté Mirande Aile H. Université de Bourgogne, Dijon;Center for Machine Perception, Dept.of Cybernetics, CTU Prague

  • Venue:
  • CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
  • Year:
  • 2007

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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.