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Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition

  • Mariano Tepper
  • Francisco Gómez
  • Pablo Musé
  • Andrés Almansa
  • Marta Mejail
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contributions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval.

Keywords

Level Line Canny Edge Detector Shape Context Maximal Stable Extremal Region Jitter Noise 
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 2009

Authors and Affiliations

  • Mariano Tepper
    • 1
  • Francisco Gómez
    • 1
  • Pablo Musé
    • 2
  • Andrés Almansa
    • 3
  • Marta Mejail
    • 1
  1. 1.Universidad de Buenos AiresArgentina
  2. 2.Universidad de la RepúblicaUruguay
  3. 3.Telecom ParisTechFrance

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