Detail publikace
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
DEREVIANKO, A. VAŠÍK, 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 pictures 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 and makes the search for the needed transformation easier. 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 pictures 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 and makes the search for the needed transformation easier. Examples of application on the real object images are also included.
Klíčová slova anglicky
geometric algebra; Clifford algebra; transformation; picture comparison; image processing
Vydáno
08.05.2024
Nakladatel
SPRINGER INTERNATIONAL PUBLISHING AG
Místo
CHAM
ISBN
978-3-031-34031-4
Kniha
Advanced Computational Applications of Geometric Algebra
Ročník
13771
Číslo edice
13771
Strany od–do
15–26
Počet stran
12
BIBTEX
@inproceedings{BUT188554,
author="Anna {Derevianko} and Petr {Vašík},
title="Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics",
booktitle="Advanced Computational Applications of Geometric Algebra",
year="2024",
volume="13771",
month="May",
pages="15--26",
publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
address="CHAM",
isbn="978-3-031-34031-4"
}