Computation of the φ-Descriptor in the Case of 2D Vector Objects

Jason Kemp, Tyler Laforet, Pascal Matsakis

2020

Abstract

The spatial relations between objects, a part of everyday speech, are capable of being described within an image via a Relative Position Descriptor (RPD). The φ-descriptor, a recently introduced RPD, encapsulates more spatial information than other popular descriptors. However, only algorithms for determining the φdescriptor of raster objects exist currently. In this paper, the first algorithm for the computation of the φdescriptor in the case of 2D vector objects is introduced. The approach used is based on the concept of Points of Interest (which are points on the boundaries of the objects where elementary spatial relations change) and dividing the objects into regions according to their corresponding relationships. The capabilities of the algorithm have been tested and verified against an existing φ-descriptor algorithm for raster objects. The new algorithm is intended to show the versatility of the φ-descriptor.

Paper Citation

in Harvard Style

Kemp J., Laforet T. and Matsakis P. (2020). Computation of the φ-Descriptor in the Case of 2D Vector Objects. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, pages 60-68. DOI: 10.5220/0008984500600068

in Bibtex Style

@conference{icpram20,
author={Jason Kemp and Tyler Laforet and Pascal Matsakis},
title={Computation of the φ-Descriptor in the Case of 2D Vector Objects},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={60-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008984500600068},
isbn={978-989-758-397-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Computation of the φ-Descriptor in the Case of 2D Vector Objects
SN - 978-989-758-397-1
AU - Kemp J.
AU - Laforet T.
AU - Matsakis P.
PY - 2020
SP - 60
EP - 68
DO - 10.5220/0008984500600068