Publication detail
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
DEREVIANKO, A. LOUČKA, 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 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.
English abstract
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.
Keywords in English
Geometric algebra; Clifford algebra; Transformation; Point cloud; Image processing
Released
02.04.2022
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Location
CHAM
ISBN
978-3-030-98259-1
Book
Modelling and Simulation for Autonomous Systems
Volume
13207
Pages from–to
215–226
Pages count
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"
}