• DocumentCode
    1462347
  • Title

    Comments on "Nonparametric segmentation of curves into various representations" [with reply]

  • Author

    Kanatani, Kenichi ; Rosin, P.L. ; West, G.A.W.

  • Author_Institution
    Dept. of Comput. Sci., Gunma Univ., Japan
  • Volume
    19
  • Issue
    12
  • fYear
    1997
  • Firstpage
    1391
  • Lastpage
    1394
  • Abstract
    The author points out the existence of a theoretical difficulty that underlies the curve segmentation problem studied in the work of Rosin and West (ibid., vol.17, no.12, p.1140-53, 1995) and present a possible solution to it. The problem arises because curves are segmented into low- and high-order features, and the former are a subset of the latter. In reply, Rosin and West discuss the advantages and disadvantages of two approaches to model selection: their original heuristic sequential method, and the information theoretic method suggested by Kanatani and others.
  • Keywords
    curve fitting; heuristic programming; image segmentation; information theory; curve representation; curve segmentation; heuristic sequential method; high-order features; information theoretic method; low-order features; nonparametric segmentation; Computer science; Curve fitting; Length measurement; Pattern recognition;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.643901
  • Filename
    643901