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Mixed Applications

  • Gerhard Winkler
Part of the Applications of Mathematics book series (SMAP, volume 27)

Abstract

We conclude this text with a sample of further typical applications. They once more illustrate the flexibility of the Bayesian framework. The first example concerns the analysis of motion. It shows how the ideas developed in the context of piecewise smoothing can be transfered to a problem of appearently different flavour. In single photon emission tomography — the second example — a similar approach is adopted. In contrast to former applications, shot noise is predominant here. The third example is different from the others. The basic elements are no longer pixel based like grey levels, labels or edge elements. They have an own structure and thereby a higher level of interpretation may be achieved. This is a hint along which lines middle or even high level image analysis might evolve. Part of the applications recently studied by leading researchers is presented in Chellapa and Jain (1993).

Keywords

Optical Flow Shot Noise Disparity Function Single Photon Emission Tomography Motion Discontinuity 
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 1995

Authors and Affiliations

  • Gerhard Winkler
    • 1
  1. 1.Mathematical InstituteLudwig-Maximilians UniversitätMünchenGermany

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