Normalization of the Histogram of Forces

M. Jazouli, J. Wadsworth, P. Matsakis

2019

Abstract

The histogram of forces is a quantitative representation of the relative position of two image objects. It is an image descriptor, like, e.g., shape descriptors. It is not invariant under similitudes, but can be made invariant under similitudes. These are two desirable properties that have been exploited in many applications. Making the histogram of forces invariant under similitudes is achieved through a procedure called normalization. In this paper, we formalize the concept of normalization, review the existing normalization procedures, introduce new ones, and compare all these procedures through experiments involving over 170,000 histogram computations or normalizations.

Paper Citation

in Harvard Style

Jazouli M., Wadsworth J. and Matsakis P. (2019). Normalization of the Histogram of Forces.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 630-639. DOI: 10.5220/0007397406300639

in Bibtex Style

@conference{icpram19,
author={M. Jazouli and J. Wadsworth and P. Matsakis},
title={Normalization of the Histogram of Forces},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={630-639},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007397406300639},
isbn={978-989-758-351-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Normalization of the Histogram of Forces
SN - 978-989-758-351-3
AU - Jazouli M.
AU - Wadsworth J.
AU - Matsakis P.
PY - 2019
SP - 630
EP - 639
DO - 10.5220/0007397406300639