This paper shows how two image sequences that have no spatial overlap
between their fields of view can be aligned both in time and in space.
Such alignment is possible when the two cameras are attached closely together
and are moved jointly in space. The common motion induces ``similar'' changes
over time within the two sequences. This correlated temporal behavior is
used to recover the spatial and temporal transformations
between the two sequences. The requirement of ``coherent appearance''
in standard image alignment techniques is therefore replaced by ``coherent
temporal behavior'', which is often easier to satisfy.
This approach to alignment can be used not only for aligning non-overlapping
sequences, but also for handling other cases that are inherently difficult
for standard image alignment techniques. We demonstrate applications of
this approach to three real-world problems: (i) alignment of non-overlapping
sequences for generating wide-screen movies, (ii) alignment of images (sequences)
obtained at significantly different zooms, for surveillance applications,
and, (iii) multi-sensor image alignment for multi-sensor fusion.