Journal
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume 30, Issue 1, Pages 180-185Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2007.70757
Keywords
mutual information; registration; Newton optimization; tracking
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Mutual Information (MI) is popular for registration via function optimization. This work proposes an inverse compositional formulation of MI for Levenberg-Marquardt optimization. This yields a constant Hessian, which may be precomputed. Speed improvements of 15 percent were obtained, with convergence accuracies similar those of the standard formulation.
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