Journal of Mathematical Imaging and Vision

, Volume 44, Issue 3, pp 223–235

Geometric Moments and Their Invariants

Article

DOI: 10.1007/s10851-011-0323-x

Cite this article as:
Hickman, M.S. J Math Imaging Vis (2012) 44: 223. doi:10.1007/s10851-011-0323-x

Abstract

Moments and their invariants have been extensively used in computer vision and pattern recognition. There is an extensive and sometimes confusing literature on the computation of a basis of functionally independent moments up to a given order. Many approaches have been used to solve this problem albeit not entirely successfully. In this paper we present a (purely) matrix algebra approach to compute both orthogonal and affine invariants for planar objects that is ideally suited to both symbolic and numerical computation of the invariants. Furthermore we generate bases for both systems of invariants and, in addition, our approach generalises to higher dimensional cases.

Keywords

Orthogonal and affine transformationsMomentsInvariantsCovariantsImage recognition

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mathematics & StatisticsUniversity of CanterburyChristchurchNew Zealand