Total Least Squares Fitting of k-Spheres in n-D Euclidean Space Using an (n+2)-D Isometric Representation.

Published in: J. Math. Imaging Vis. (2014)

Keyphrases

euclidean space
total least squares
shape analysis
euclidean distance
low dimensional
vector space
metric space
data points
regularized least squares
image restoration
reproducing kernel hilbert space
dimensionality reduction
multi dimensional
principal component analysis