• DocumentCode
    3425930
  • Title

    Morse homology descriptor for shape characterization

  • Author

    Allili, Madjid ; Corriveau, David ; Ziou, Djemel

  • Author_Institution
    Dept. of Comput. Sci., Bishop´´s Univ., Lennoxville, Que., Canada
  • Volume
    4
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    27
  • Abstract
    We propose a new topological method for shape description that is suitable for any multi-dimensional data set that can be modelled as a manifold. The description is obtained for all pairs (M, f), where M is a closed smooth manifold and f a Morse function defined on M. More precisely, we characterize the topology of all pairs of lower level sets (My, Mx) of f, where Ma = f-1((-∞,a]), for all a ∈ R. Classical Morse theory is used to establish a link between the topology of a pair of lower level sets of f and its critical points lying between the two levels.
  • Keywords
    computer vision; image recognition; Morse function; Morse homology descriptor; closed smooth manifold; shape characterization; shape description; topological method; Computer science; Computer vision; Distortion measurement; Encoding; Level set; Noise shaping; Sampling methods; Shape measurement; Size measurement; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333697
  • Filename
    1333697