homest is a C/C++ library for robust, non-linear
homography estimation. A homography (sometimes
also called a collineation) is a general plane to
plane projective transformation whose estimation
from matched image features is often necessary in
vision tasks. homest computes a homography
estimate that minimizes an appropriate non-linear
cost function defined on matching points (currently
either non-symmetric transfer error, symmetric
transfer error, Sampson error, or reprojection
error) and includes robust regression techniques
for coping with outliers (i.e., mismatched point
pairs). It supports the estimation of fully
projective (8 dof) and affine (6 dof) homographies.
