  This report accompanies a dataset release on visual and thermal camera data
and details a procedure followed to align such multi-modal camera frames in
order to provide pixel-level correspondence between the two without using
intrinsic or extrinsic calibration information. To achieve this goal we benefit
from progress in the domain of multi-modal image alignment and specifically
employ the Mattes Mutual Information Metric to guide the registration process.
In the released dataset we release both the raw visual and thermal camera data,
as well as the aligned frames, alongside calibration parameters with the goal
to better facilitate the investigation on common local/global features across
such multi-modal image streams.
