Abstract
In this contribution we consider an optimization problem constrained by a system of state equations coupling the nonstationary model for gray-value transport in an image sequence to the physical model of a transport field resulting in the gray-value evolution. Since in this situation the movement over the boundaries is often unknown, we use a Dirichlet-boundary control formulation for the determination of the transport field.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Borzí, A., Ito, K., Kunisch, K.: Optimal Control Formulation for Determining Optical Flow. SIAM J. Sci. Comput. 24(3),818–847 (2002).
Horn, B.K.P., Schunck, B.G.: Determining optical flow. Artificial Intelligence. 17, 185–203 (1981).
Jähne, B.: Digital Image Processing. 6th revised and extended Edition, Springer, Heidelberg (2005).
Marušíc-Paloka, E.: Solvability of the Navier-Stokes System with L 2 Boundary Data. Appl. Math. Optim. 41, 365–375 (2000).
May, S., Rannacher, R., Vexler, B.: A Priori Error Analysis for the Finite Element Approximation of Elliptic Dirichlet Boundary Control Problems. Proc. ENUMATH-2007, Graz, 637–644 (2007).
Meidner, D.: Adaptive Space-Time Finite Element Methods for Optimization Problems Governed by Nonlinear Parabolic Systems. PhD-thesis, Heidelberg University, 2008.
Papadakis, N., Memin, E.: Variational Assimilation of Fluid Motion from Image Sequences. SIAM J. on Imag. Sci. (2008).
RoDoBo: Software Package for Solving Optimization Problems Governed by PDEs. http://www.rodobo.uni-hd.de
Ruhnau, P., Schnörr C.: Optical Stokes Flow Estimation: An Imaging-based Control Approach. Exp. in Fluids. 42, 61–78 (2007).
Schepanski, K., Tegen, I., Macke, A.: Saharan Dust Transport and Deposition Towards the Tropical Northern Atlantic. Atmos. Chem. Phys. 8, 16061–16096 (2009).
Acknowledgements
This article based on collaboration with Prof. Dr. Dr. h.c. R. Rannacher (IAM, University Heidelberg) and Priv.-Doz. Dr. C. S. Garbe (IPM, University Heidelberg). The author gratefully acknowledge both of them for many fruitful discussions and their support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Klinger, M. (2013). Parameter Estimation Problems in Physically Based Image Processing. In: Cangiani, A., Davidchack, R., Georgoulis, E., Gorban, A., Levesley, J., Tretyakov, M. (eds) Numerical Mathematics and Advanced Applications 2011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33134-3_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-33134-3_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33133-6
Online ISBN: 978-3-642-33134-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)