Publication result detail

GAC Application to Corner Detection Based on Eccentricity

HRDINA, J.; VAŠÍK, P.; NÁVRAT, A.

Original Title

GAC Application to Corner Detection Based on Eccentricity

English Title

GAC Application to Corner Detection Based on Eccentricity

Type

Paper in proceedings (conference paper)

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.

English 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

Geometric algebras, GAC, Corner detection

Key words in English

Geometric algebras, GAC, Corner detection

Authors

HRDINA, J.; VAŠÍK, P.; NÁVRAT, A.

RIV year

2020

Released

12.06.2019

Publisher

Springer Nature Switzerland AG 2019

Location

Switzerland

ISBN

978-3-030-22513-1

Book

Advances in Computer Graphics

Edition

Lecture Notes in Computer Science

Pages from

564

Pages to

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"
}