Video mosaicing using a mutual information-based motion estimation process

This paper proposes a method to achieve parametric motion estimation based on mutual information and its use in video mosaicing applications. Sum of Squared Differences (SSD) is widely considered in motion estimation. Here, we consider another metric, Mutual Information (MI), which is far less sensitive to changes in the lighting condition, to occlusions, and to a wide class of non-linear image transformation. Results under various complex conditions are presented.