Published: October 19, 2019
Javier Bernal, James F. Lawrence
The constrained orthogonal Procrustes problem is the least-squares problem that calls for a rotation matrix that optimally aligns two corresponding sets of points in d-dimensional Euclidean space. This problem generalizes to the so-called Wahba's problem which is the same problem with nonnegative weights. Given a d by d matrix M, solutions to these problems are intricately related to the problem of finding a d by d rotation matrix U that maximizes the trace of UM, i.e., that makes UM a matrix of maximal trace over rotations, and it is well known this can be achieved with a method based on the computation of the singular value decomposition (SVD) of M. In this paper, we analyze matrices of maximal trace and explore the possibility of identifying alternative ways, other than the SVD method, of obtaining solutions. As a result, we identify a characterization of these matrices that for d = 2, 3, can be used to determine whether a matrix is of maximal trace. We also identify an alternative way that does not involve the SVD method for solving 2-dimensional problems, and explore the possibility of doing the same in 3 dimensions.
Citation: Journal of Research (NIST JRES) -
NIST Pub Series: Journal of Research (NIST JRES)
Pub Type: NIST Pubs
constrained, eigen value, maximal trace, orthogonal, Procrustes, rotation, singular value decomposition, Wahba
Created October 19, 2019, Updated November 06, 2019