GAC Application to Corner Detection Based on Eccentricity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU132418" target="_blank" >RIV/00216305:26210/19:PU132418 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-030-22514-8" target="_blank" >http://dx.doi.org/10.1007/978-3-030-22514-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-22514-8" target="_blank" >10.1007/978-3-030-22514-8</a>

Result language

angličtina

Original language name

GAC Application to Corner Detection Based on Eccentricity

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10102 - Applied mathematics

Project

<a href="/en/project/GA17-21360S" target="_blank" >GA17-21360S: Advances in Snake-like Robot Control</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in Computer Graphics

ISBN

978-3-030-22513-1

ISSN

—

e-ISSN

—

Number of pages

7

Pages from-to

564-570

Publisher name

Springer Nature Switzerland AG 2019

Place of publication

Switzerland

Event location

Calgary

Event date

Jun 17, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000495360100057