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Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation

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2 Author(s)
Nicholas Dowson ; Siemens Molecular Imaging, Oxford ; Richard Bowden

Mutual information (Ml) is popular for registration via function optimization. This work proposes an inverse compositional formulation of Ml 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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:30 ,  Issue: 1 )