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2019 | OriginalPaper | Chapter

GAC Application to Corner Detection Based on Eccentricity

Authors : Jaroslav Hrdina, Aleš Návrat, Petr Vašík

Published in: Advances in Computer Graphics

Publisher: Springer International Publishing

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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.

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previous chapter Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

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Title: GAC Application to Corner Detection Based on Eccentricity
Authors: Jaroslav Hrdina
Aleš Návrat
Petr Vašík
Publisher: Springer International Publishing
Book: Advances in Computer Graphics
Print ISBN: 978-3-030-22513-1

Electronic ISBN: 978-3-030-22514-8

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-22514-8_57

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