Mutual information for Lucas-Kanade Tracking (MILK): an inverse compositional formulation
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Published on: August 16, 2017
Nicholas Dowson1, Richard Bowden
1Siemens Molecular Imaging, Oxford, OX1 2EP, UK. nicholas.dowson@siemens.com
Abstract:
Mutual Information (MI) is popular for registration via function optimisation. This work proposes an inverse compositional formulation of MI for Levenberg-Marquardt optimisation. This yields a constant Hessian, which may be pre-computed. Speed improvements of 15% were obtained, with convergence accuracies similar to those of the standard formulation.
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