Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization

In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the desirable characteristic of being invariant with respect to photometric distortions. Since the resulting similarity measure is a nonlinear function of the warp parameters, we develop two iterative schemes for its maximization, one based on the forward additive approach and the second on the inverse compositional method. As is customary in iterative optimization, in each iteration, the nonlinear objective function is approximated by an alternative expression for which the corresponding optimization is simple. In our case, we propose an efficient approximation that leads to a closed-form solution (per iteration) which is of low computational complexity, the latter property being particularly strong in our inverse version. The proposed schemes are tested against the Forward Additive Lucas-Kanade and the Simultan...

• Type: Journal
• Year: 2008
• Where: PAMI
• Authors: Georgios D. Evangelidis, Emmanouil Z. Psarakis
• Keywords: Forward Additive Approach, Inverse Compositional Method, PAMI 2008, Photometric Distortions