1989
@article{Pin1989,
vgclass = {refpap},
vgproject = {invariance},
author = {David A. Pintsov},
title = {Invariant Pattern Recognition, Symmetry, and Radon
Transforms},
journal = {Journal of the Optical Society of America (A)},
volume = {6},
number = {10},
pages = {1544--1554},
month = {October},
year = {1989},
abstract = {A framework for a large class of
invariant-pattern-recognition problems is suggested. The proposed
approach combines the properties of uniqueness, registration, and
optimality with the ability to use natural symmetries of input
patterns. The approach is based on cross correlation. The
cross-correlation function with respect to a group of transformations
is defined. The properties of this function and methods of its
calculation are discussed. As a special case, it is shown formally that
the cross correlation with respect to the motion group is the basis of
such techniques as Radon transforms and the Hough technique. The roles
of symmetry and parameters are examined. A technique for decomposition
of pictures into sums of separable functions associated with groups of
transformations is applied to the calculation of the cross correlation
function. Several examples of applications of the proposed approach are
given.},
}