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

Stať ve sborníku v databázi WoS či 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.

Klíčová slova anglicky

geometric algebra; Clifford algebra; transformation; picture comparison; image processing

Vydáno

2024-05-08

Nakladatel

SPRINGER INTERNATIONAL PUBLISHING AG

Místo

CHAM

ISBN

978-3-031-34031-4

Kniha

Advanced Computational Applications of Geometric Algebra

Ročník

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",
  series="Lecture Notes in Computer Science",
  volume="13771",
  number="13771",
  pages="15--26",
  publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
  address="CHAM",
  doi="10.1007/978-3-031-34031-4\{_}2",
  isbn="978-3-031-34031-4"
}