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Dense Parameter Fields from Total Least Squares

  • Hagen Spies
  • Christoph S. Garbe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2449)

Abstract

A method for the interpolation of parameter fields estimated by total least squares is presented. This is applied to the study of dynamic processes where the motion and further values such as divergence or brightness changes are parameterised in a partial differential equation. For the regularisation we introduce a constraint that restricts the solution only in the subspace determined by the total least squares procedure. The performance is illustrated on both synthetic and real test data.

Keywords

Source Term Dense Parameter Orthogonal Subspace Global Illumination Minimum Norm Solution 
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

  • Hagen Spies
    • 1
  • Christoph S. Garbe
    • 2
  1. 1.ICG-III: Phytosphere, Research Center JülichJülichGermany
  2. 2.Interdisciplinary Center for Scientific ComputingUniversity of HeidelbergHeidelbergGermany

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