• DocumentCode
    1472938
  • Title

    Automated B-spline curve representation incorporating MDL and error-minimizing control point insertion strategies

  • Author

    Cham, Tat-Jen ; Cipolla, Roberto

  • Author_Institution
    Res. Lab., Compaq Comput. Corp., Cambridge, MA, USA
  • Volume
    21
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    The main issues of developing an automatic and reliable scheme for spline-fitting are discussed and addressed in this paper, which are not fully covered in previous papers or algorithms. The proposed method incorporates B-spline active contours, the minimum description length (MDL) principle, and a novel control point insertion strategy based on maximizing the potential for energy-reduction maximization (PERM). A comparison of test results shows that it outperforms one of the better existing methods
  • Keywords
    computer vision; covariance matrices; curve fitting; splines (mathematics); automated B-spline curve representation; error-minimizing control point insertion strategies; minimum description length principle; Active contours; Automatic control; Computer vision; Curve fitting; Error correction; Iterative algorithms; Optimal control; Performance analysis; Spline; Testing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.745733
  • Filename
    745733