Publication detail
GAC Application to Corner Detection Based on Eccentricity
HRDINA, J. VAŠÍK, P. NÁVRAT, A.
English title
GAC Application to Corner Detection Based on Eccentricity
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
The geometric algebra GAC offers the same efficiency for calculations with arbitrary conic sections as provided by CGA for spheres. We shall exploit these properties in image processing, particularly in corner detection. Indeed, the point cluster will be approximated by a conic section and, consequently, classified as points with ellipse–like or hyperbola–like neighbourhood. Then, by means of eccentricity, we decide whether the points form a corner.
Keywords in English
Geometric algebras, GAC, Corner detection
Released
2019-06-12
Publisher
Springer Nature Switzerland AG 2019
Location
Switzerland
ISBN
978-3-030-22513-1
Book
Advances in Computer Graphics
Pages from–to
564–570
Pages count
7
BIBTEX
@inproceedings{BUT157415,
author="Jaroslav {Hrdina} and Petr {Vašík} and Aleš {Návrat}",
title="GAC Application to Corner Detection Based on Eccentricity",
booktitle="Advances in Computer Graphics",
year="2019",
series="Lecture Notes in Computer Science",
number="11542",
pages="564--570",
publisher="Springer Nature Switzerland AG 2019",
address="Switzerland",
doi="10.1007/978-3-030-22514-8",
isbn="978-3-030-22513-1"
}