Image registration by minimization of Mapping Complexity

@article{Myronenko2009ImageRB,
  title={Image registration by minimization of Mapping Complexity},
  author={Andriy Myronenko and Xubo B. Song},
  journal={2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
  year={2009},
  pages={17-24}
}
The criterion for the correct spatial alignment is a key component in image registration. We formulate the registration problem as one that finds the spatial and intensity mappings of minimal complexity that make images exactly equal. We do not assume any parametric forms of these functions, and estimate them within variational calculus. We analytically solve for non-stationary intensity mapping, eliminate it from the objective function and arrive with a new similarity measure. We name it the… CONTINUE READING
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Showing 1-10 of 25 references

On the nystrom method for approximating a gram matrix for improved kernelbased learning

  • P. Drineas, M.W.Mahoney
  • JMLR, 6:2153–2175,
  • 2005
1 Excerpt

Templates for the Solution of Algebraic Eigenvalue Problems : A Practical Guide

  • J. Demmel, J. Dongarra, A. Ruhe, H. van der Vorst
  • NeuroImage
  • 2005

Numerical Methods for Image Registration

  • J. Modersitzki
  • Oxford university press
  • 2004
2 Excerpts

Lanczos Algorithms for Large Symmetric Eigenvalue Computations

  • J. K. Cullum, R. A. Willoughby
  • volume 1. Cambridge
  • 2002
2 Excerpts

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