Relative Position Descriptors - A Review

Mohammad Naeem, Pascal Matsakis

2015

Abstract

A relative position descriptor is a quantitative representation of the relative position of two spatial objects. It is a low-level image descriptor, like colour, texture, and shape descriptors. A good amount of work has been carried out on relative position description. Application areas include content-based image retrieval, remote sensing, medical imaging, robot navigation, and geographic information systems. This paper reviews the existing work. It identifies the approaches that have been used as well as the properties that can be expected from relative position descriptors. It compares and provides a brief overview of various descriptors, including their main properties, strengths and limitations, and it suggests areas for future work.

Paper Citation

in Harvard Style

Naeem M. and Matsakis P. (2015). Relative Position Descriptors - A Review . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 286-295. DOI: 10.5220/0005211002860295

in Bibtex Style

@conference{icpram15,
author={Mohammad Naeem and Pascal Matsakis},
title={Relative Position Descriptors - A Review},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2015},
pages={286-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005211002860295},
isbn={978-989-758-076-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Relative Position Descriptors - A Review
SN - 978-989-758-076-5
AU - Naeem M.
AU - Matsakis P.
PY - 2015
SP - 286
EP - 295
DO - 10.5220/0005211002860295