Detail publikace

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

DEREVIANKO, A. VAŠÍK, P.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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

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

Autoři

DEREVIANKO, A.; VAŠÍK, P.

Vydáno

8. 5. 2024

Nakladatel

SPRINGER INTERNATIONAL PUBLISHING AG

Místo

CHAM

ISBN

978-3-031-34031-4

Kniha

Advanced Computational Applications of Geometric Algebra

Edice

Lecture Notes in Computer Science

Číslo edice

13771

Strany od

15

Strany do

26

Strany počet

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"
}