Error stabilization in successive estimation of registration parameters

The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit the error growth and greatly improve performance. We propose different approaches to the analytical evaluation of the performance of this estimation as a function of the sequence length and the maximum distance of allowed measurements.