Multi-scale Representation and Persistency for Shape Description

  • Authors:
  • Davide Moroni;Mario Salvetti;Ovidio Salvetti

  • Affiliations:
  • Institute of Information Science and Technologies (ISTI), Italian National Research Council (CNR), Pisa, Italy;Department of Mathematics, University of Pisa, Pisa, Italy;Institute of Information Science and Technologies (ISTI), Italian National Research Council (CNR), Pisa, Italy

  • Venue:
  • MDA '08 Proceedings of the 3rd international conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
  • Year:
  • 2008

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Abstract

Extraction, organization and exploitation of topological features are emerging topics in computer vision and graphics. However, such kind of features often exhibits weak robustness with respect to small perturbations and it is often unclear how to distinguish truly topological features from topological noise. In this paper, we present an introduction to persistence theory, which aims at analyzing multi-scale representations from a topological point of view. Besides, we extend the ideas of persistency to a more general setting by defining a set of discrete invariants.