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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.
Tracking, Computer vision, Image Processing and Computer Vision, Optimization
Richard Bowden, Nicholas Dowson, "Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 30, no. , pp. 180-185, January 2008, doi:10.1109/TPAMI.2007.70757
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