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DEFORMOTION Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images

  • Stefano Soatto
  • Anthony J. Yezzi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2352)

Abstract

What does it mean for a deforming object to be “moving” (see Fig.1)? How can we separate the overall motion (a finite-dimensional group action) from the more general deformation (a diffeomorphism)? In this paper we propose a definition of motion for a deforming object and introduce a notion of “shape average” as the entity that separates the motion from the deformation. Our definition allows us to derive novel and efficient algorithms to register non-equivalent shapes using region-based methods, and to simultaneously approximate and register structures in grey-scale images. We also extend the notion of shape average to that of a “moving average” in order to track moving and deforming objects through time.

Keywords

Group Action Shape Average Signed Distance Function General Deformation Euclidean Group 
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-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Stefano Soatto
    • 1
  • Anthony J. Yezzi
    • 2
  1. 1.Department of Computer ScienceUniversity of California Los AngelesLos Angeles
  2. 2.Department of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlanta

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