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Two methods for a reliable corner detection in 2D images

  • Richard Lengagne
  • Olivier Monga
  • Cong Ge
  • Ma Song De
Session IA1b — Feature Matching & Detection
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)

Abstract

In this paper, we apply successively two methods for corner detection in two-dimensional images, i.e. a differential geometrybased approach relying on multi-scale curvature computation and curvature extrema extraction, and a connexionist approach based on neural networks. We point out the limits of each method and we investigate the way to combine those two strategies in order to get more accurate and more reliable results. This methodology is tested on an indoor scene.

Keywords

Grey Level Edge Point Candidate Point Grey Level Image Curvature Derivative 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Richard Lengagne
    • 1
  • Olivier Monga
    • 1
  • Cong Ge
    • 2
  • Ma Song De
    • 2
  1. 1.Domaine de Voluceau - RocquencourtINRIALe Chesnay CedexFrance
  2. 2.NLPR, Institute of AutomationChinese Academy of SciencesBeijingChina

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