Anisotropic generalized Procrustes analysis
Computational Statistics & Data Analysis
Least-squares estimation of anisotropic similarity transformations from corresponding 2D point sets
Pattern Recognition Letters
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The aim of this paper is to analyze two scaling extensions of the Orthogonal Procrustes Problem (OPP) called the pre-scaling and the post-scaling approaches. We also discuss some problems related to these extensions and propose two new algorithms to find optimal solutions. These algorithms, which are based on the majorization principle, are shown to be monotonically convergent and their performance is examined.