Publication detail
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
DEREVIANKO, A. VAŠÍK, P.
English title
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
Type
conference paper
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
geometric algebra; Clifford algebra; transformation; picture comparison; image processing
Released
08.05.2024
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Location
CHAM
ISBN
978-3-031-34031-4
Book
Advanced Computational Applications of Geometric Algebra
Volume
13771
Edition number
13771
Pages from–to
15–26
Pages count
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"
}