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GAC Application to Corner Detection Based on Eccentricity

  • Jaroslav Hrdina
  • Aleš Návrat
  • Petr VašíkEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11542)

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 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Mathematics, Faculty of Mechanical EngineeringBrno University of TechnologyBrnoCzech Republic

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