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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.
INDEX TERMS
Tracking, Computer vision, Image Processing and Computer Vision, Optimization
CITATION
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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