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Proceedings Paper

Robust multi-scale multi-modal image registration
Author(s): Michal Holtzman-Gazit; Irad Yavneh
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Paper Abstract

Multi modal image registration is an especially difficult problem when one of the images contains only a small region of the other image. In this case there is generally a need to search for the alignment parameters over the entire image. If an associated local optimization scheme is initialized far from the global solution, it usually converges to a local optimum. This paper presents a multi-scale approach that greatly enlarges the basin of attraction of the global optimum, and demonstrates how to find the correct solution to the optimization problem efficiently and reliably, by solving a small number of local optimization problems and tracking a small number of likely candidates.

Paper Details

Date Published: 27 April 2010
PDF: 9 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769713 (27 April 2010); doi: 10.1117/12.848681
Show Author Affiliations
Michal Holtzman-Gazit, Technion-Israel Institute of Technology (Israel)
Irad Yavneh, Technion-Israel Institute of Technology (Israel)

Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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