Detail publikačního výsledku

GAC Application to Corner Detection Based on Eccentricity

HRDINA, J.; VAŠÍK, P.; NÁVRAT, A.

Originální název

GAC Application to Corner Detection Based on Eccentricity

Anglický název

GAC Application to Corner Detection Based on Eccentricity

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Anglický 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

Geometric algebras, GAC, Corner detection

Klíčová slova v angličtině

Geometric algebras, GAC, Corner detection

Autoři

HRDINA, J.; VAŠÍK, P.; NÁVRAT, A.

Rok RIV

2020

Vydáno

12.06.2019

Nakladatel

Springer Nature Switzerland AG 2019

Místo

Switzerland

ISBN

978-3-030-22513-1

Kniha

Advances in Computer Graphics

Edice

Lecture Notes in Computer Science

Strany od

564

Strany do

570

Strany počet

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"
}