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Published on: April 16, 2017
Combining geodesic interpolating splines and affine transformations
1Department of Applied Mathematics and Statistics and Center for Imaging Science, The Johns Hopkins University, Baltimore, MD 21208, USA. younes@cis.jhu.edu
Abstract:
Geodesic spline interpolation is a simple and efficient approach for landmark matching by nonambiguous mappings (diffeomorphisms), combining classic spline interpolation and flows of diffeomorphisms. Here, we extend the method to incorporate the estimation of a affine transformation, yielding a consistent and numerically stable algorithm. A theoretical justification is provided by studying the existence of the global minimum of the energy.
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