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Statistical Models of Visual Shape and Motion

  • Andrew Blake
  • Michael Isard
  • John MacCormick
Chapter
Part of the Statistics for Engineering and Information Science book series (ISS)

Abstract

This paper1 addresses some problems in the interpretation of visually observed shapes, both planar and three-dimensional, in motion. Mumford (1996), interpreting the Pattern Theory developed over a number of years by Grenander (1976), views images as pure patterns that have been distorted by a combination of four kinds of degradations. This view applies naturally to the analysis of static, two-dimensional images. The four degradations are given here, together with comments on how they need to be extended to take account of three-dimensional objects in motion.

Keywords

Gesture Recognition Training Sequence Discrete State Ballistic Motion Prior Density 
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 New York 2001

Authors and Affiliations

  • Andrew Blake
  • Michael Isard
  • John MacCormick

There are no affiliations available

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