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Complex Motion in Environmental Physics and Live Sciences

  • Bernd Jähne
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3417)

Abstract

Image sequence processing techniques are an essential tool for the experimental investigation of dynamical processes such as exchange, growth, and transport processes. These processes constitute much more complex motions than normally encountered in computer vision. In this paper, optical flow based motion analysis is extended into a generalized framework to estimate the motion field and the parameters of dynamic processes simultaneously. Examples from environmental physics and live sciences illustrate how this framework helps to tackles some key scientific questions that could not be solved without taking and analyzing image sequences.

Keywords

Image Sequence Motion Estimation Data Vector Window Function Structure Tensor 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Bernd Jähne
    • 1
  1. 1.Research Group Image Processing, Interdisciplinary Center for Scientific Computing, and, Institute for Environmental Physics, University of HeidelbergGermany

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