Image registration is the process of geometrically aligning
two or more images. In this paper we describe a method
for registering pairs of images based on thin-plate spline
mappings. The proposed algorithm minimizes the difference
in gray-level intensity over bijective deformations. By
using quadratic sufcient constraints for bijectivity and a
least squares formulation this optimization problem can be
addressed using quadratic programming and a modied
Gauss-Newton method. This approach also results in a very
computationally efcient algorithm. Example results from
the algorithm on three different types of images are also
presented.