Detail publikace

GAC Application to Corner Detection Based on Eccentricity

HRDINA, J. VAŠÍK, P. NÁVRAT, A.

Anglický název

GAC Application to Corner Detection Based on Eccentricity

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

Geometric algebras, GAC, Corner detection

Vydáno

2019-06-12

Nakladatel

Springer Nature Switzerland AG 2019

Místo

Switzerland

ISBN

978-3-030-22513-1

Kniha

Advances in Computer Graphics

Strany od–do

564–570

Počet stran

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"
}