• DocumentCode
    2480437
  • Title

    Multiscale Analysis from 1D Parametric Geometric Decomposition of Shapes

  • Author

    Feschet, Fabien

  • Author_Institution
    Health & Technol. Lab., Univ. de Clermont, Clermont, France
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    2102
  • Lastpage
    2105
  • Abstract
    This paper deals with the construction of a non parametric multiscale analysis from a 1D parametric decomposition of shapes where the elements of the decomposition are geometric primitives. We focus on the case of linear structures in shapes but our construction readily extends to the case of any geometric primitives. One key point of the construction is that it is truly multiscale in the sense that a higher level is a sublevel of a lower one and that it preserves symmetries of shapes. We made some experiments to show the simplification it provides on classical shapes. Results are promising.
  • Keywords
    computational geometry; statistical analysis; geometric primitives; linear structures; nonparametric multiscale analysis; shape decomposition; Databases; Geometry; Limiting; Measurement; Noise; Robustness; Shape; Multiscale analysis; appearance number; geometric primitives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.515
  • Filename
    5595932