• DocumentCode
    1121384
  • Title

    An Extremum Principle for Shape from Contour

  • Author

    Brady, Michael ; Yuille, Alan

  • Author_Institution
    Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Issue
    3
  • fYear
    1984
  • fDate
    5/1/1984 12:00:00 AM
  • Firstpage
    288
  • Lastpage
    301
  • Abstract
    An extremum principle is developed that determines three-dimensional surface orientation from a two-dimensional contour. The principle maximizes the ratio of the area to the square of the perimeter, a measure of the compactness or symmetry of the three-dimensional surface. The principle interprets regular figures correctly and it interprets skew symmetries as oriented real symmetries. The maximum likelihood method approximates the principle on irregular figures, but we show that it consistently overestimates the slant of an ellipse.
  • Keywords
    Area measurement; Artificial intelligence; Capacitive sensors; Computer vision; Heart; Image analysis; Psychology; Shape measurement; Stereo vision; Image processing; scene analysis; shape from contour; surfaces; three-dimensional vision;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1984.4767521
  • Filename
    4767521