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. © Springer-Verlag Berlin Heidelberg 2002.
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CITATION STYLE
Spies, H., & Garbe, C. S. (2002). Dense parameter fields from total least squares. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2449 LNCS, pp. 379–386). Springer Verlag. https://doi.org/10.1007/3-540-45783-6_46
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