Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU151295" target="_blank" >RIV/00216305:26210/24:PU151295 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-34031-4_2" target="_blank" >http://dx.doi.org/10.1007/978-3-031-34031-4_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-34031-4_2" target="_blank" >10.1007/978-3-031-34031-4_2</a>

Result language
angličtina
Original language name
Search for Similarity Transformation Between Image Point Clouds Using Geometric Algebra for Conics
Original language description
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.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advanced Computational Applications of Geometric Algebra
ISBN
978-3-031-34031-4
ISSN
—
e-ISSN
—
Number of pages
12
Pages from-to
15-26
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Denver
Event date
Oct 2, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001207009400002

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