Analytical Representation of Contours

Abstract

The interpretation and recognition of noisy contours, such as silhouettes, have proven to be difficult. One obstacle to the solution of these problems has been the lack of a robust representation for contours. In this paper, the author presents an analytical representation for contours. The contour is represented by a set of pairwise tangent circular arcs. The advantage of such an approach is that mathematical properties such as orientation and curvature are explicitly represented. He introduces a smoothing criterion for the contour that optimizes the tradeoff between the complexity of the contour and the proximity of the data points. The complexity measure is the number of extrema of curvature present in the contour. The smoothing criterion leads him to a true scale-space for contours. He describes the computation of the contour representation as well as the computation of relevant properties of the contour. He also considers the potential application of the representation, the smoothing paradigm, and the scale-space to contour interpretation and recognition.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1992
Accession Number
ADA260151

Entities

People

  • Ronald D. Chaney

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Airplanes
  • Algorithms
  • Artificial Intelligence
  • Computations
  • Computer Vision
  • Curvature
  • Equations
  • Geometric Forms
  • Geometry
  • Law
  • Lines (Geometry)
  • Object Recognition
  • Orientation (Direction)
  • Recognition
  • Shape
  • Two Dimensional

Readers

  • Computer Vision.
  • Operations Research

Technology Areas

  • Space