Image warping is a transformation which maps all positions in one image plane
to positions in a second plane. It arises in many image analysis problems, whether in order
to remove optical distortions introduced by a camera or a particular viewing perspective, to
register an image with a map or template, or to align two or more images. The choice of
warp is a compromise between a smooth distortion and one which achieves a good match.
Smoothness can be ensured by assuming a parametric form for the warp or by constraining it
using dierential equations. Matching can be specied by points to be brought into alignment,
by local measures of correlation between images, or by the coincidence of edges. Parametric
and nonparametric approaches to warping, and matching criteria, are reviewed
MU (2022). A review of Image Warping (https://www.mathworks.com/matlabcentral/fileexchange/38912-a-review-of-image-warping), MATLAB Central File Exchange. Retrieved .
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