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

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.

• Type: Journal
• Year: 2008
• Where: PAMI
• Authors: Nicholas Dowson, Richard Bowden
• Keywords: Function Optimization, Inverse Compositional Formulation, Mutual Information, PAMI 2008