• DocumentCode
    3646072
  • Title

    Classification/comparison of curves by an infinite family of shape invariants

  • Author

    Joviša Žunić;Paul L. Rosin

  • Author_Institution
    Computer Science Department, University of Exeter, UK
  • fYear
    2011
  • Firstpage
    570
  • Lastpage
    574
  • Abstract
    In this paper we start with a family of boundary based shape measures IN(γ) = ∫γ(x(s)2 + y(s)2)N ds, N = 1, 2, ..., defined for every curve γ given in an arc-length parametrisation x = x(s), y = y(s), s ∈ [0, 1] and placed such that the centroid of γ and the origin coincide. We prove IN(γ) ≤ 4-N, for all N = 1, 2, ... which implies that the sequence IN(γ) converges quickly to 0 and, therefore the first few measures IN(γ) are most useful to compare shapes and to be applied in tasks like object classification, recognition or identification. In order to overcome such a problem, we modify the family IN(γ) and also introduce a parameter p to define a new family IN,p(γ), N = 1, 2, ... of shape measures. The new family IN,p(γ) includes an infinite number of measures which range over intervals wide enough to provide a discrimination capacity enough to distinguish among the shapes. The role of the parameter p is to provide tuning possibilities for the modified family and to expand the number of applications where the measures can be used efficiently. A set of experimental results are provided in order to justify the theoretical considerations.
  • Keywords
    "Shape","Shape measurement","Tuning","Pattern recognition","Imaging","Cancer","Educational institutions"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ACPR), 2011 First Asian Conference on
  • Print_ISBN
    978-1-4577-0122-1
  • Type

    conf

  • DOI
    10.1109/ACPR.2011.6166665
  • Filename
    6166665