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Multiresolution Representation of Shapes Based on Cell Complexes

  • Leila De Floriani
  • Paola Magillo
  • Enrico Puppo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1568)

Abstract

This paper introduces a dimension-independent multiresolution model of a shape, called the Multi-Complex (MC), which is based on decomposition into cells. An MC describes a shape as an initial cell complex approximating it, plus a collection of generic modification patterns to such complex arranged according to a partial order. The partial order is essential to extract variable-resolution shape descriptions in real time. We show how existing multiresolution models reduce to special cases of MCs characterized by specific modification patterns. The MC acts as a unifying framework that is also useful for comparing and evaluating the expressive power of different approaches.

Keywords

Directed Acyclic Graph Simplicial Complex Cell Complex Nest Model Variable Resolution 
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 1999

Authors and Affiliations

  • Leila De Floriani
    • 1
  • Paola Magillo
    • 1
  • Enrico Puppo
    • 1
  1. 1.Dipartimento di Informatica e Scienze dell’InformazioneUniversità di GenovaGenovaITALY

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