Detail publikace
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
DEREVIANKO, A. LOUČKA, P.
Anglický název
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
We introduce a novel way of searching for the similarity transformation of 2D point clouds using Geometric Algebra for Conics (GAC). In our approach, we do not represent the image objects by their contour but, instead, by the ellipse fitted into the contour points. Such representation makes the consequent similarity search fast and memory-saving. Examples of application on the real object images are also included.
Anglický abstrakt
We introduce a novel way of searching for the similarity transformation of 2D point clouds using Geometric Algebra for Conics (GAC). In our approach, we do not represent the image objects by their contour but, instead, by the ellipse fitted into the contour points. Such representation makes the consequent similarity search fast and memory-saving. Examples of application on the real object images are also included.
Klíčová slova anglicky
Geometric algebra; Clifford algebra; Transformation; Point cloud; Image processing
Vydáno
02.04.2022
Nakladatel
SPRINGER INTERNATIONAL PUBLISHING AG
Místo
CHAM
ISBN
978-3-030-98259-1
Kniha
Modelling and Simulation for Autonomous Systems
Ročník
13207
Strany od–do
215–226
Počet stran
12
BIBTEX
@inproceedings{BUT177873,
author="Anna {Derevianko} and Pavel {Loučka},
title="Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics",
booktitle="Modelling and Simulation for Autonomous Systems",
year="2022",
volume="13207",
month="April",
pages="215--226",
publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
address="CHAM",
isbn="978-3-030-98259-1"
}