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Planar Shape Analysis and Its Applications in Image-Based Inferences

  • A. Srivastava
  • S. Joshi
  • D. Kaziska
  • D. Wilson

Abstract

Shapes of boundaries can play an important role in characterizing objects in images. We describe an approach for statistical analysis of shapes of closed curves using ideas from differential geometry. A fundamental tool in this shape analysis is the construction and implementation of geodesic paths between shapes. We use geodesic paths to accomplish a variety of tasks, including the definition of a metric to compare shapes, the computation of intrinsic statistics for a set of shapes, and the definition of probability models on shape spaces. We demonstrate this approach using three applications: (i) automated clustering of objects in an image database according to their shapes, (ii) interpolation of heart-wall boundaries in echocardiographic image sequences, and (iii) a study of shapes of human silhouettes in infrared surveillance images.

Keywords

Shape Analysis Closed Curf Shape Space Endocardial Border Angle Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • A. Srivastava
  • S. Joshi
  • D. Kaziska
  • D. Wilson

There are no affiliations available

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