Detail publikace

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

DEREVIANKO, A. LOUČKA, 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 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.

Klíčová slova

Geometric algebra; Clifford algebra; Transformation; Point cloud; Image processing

Autoři

DEREVIANKO, A.; LOUČKA, P.

Vydáno

2. 4. 2022

Nakladatel

SPRINGER INTERNATIONAL PUBLISHING AG

Místo

CHAM

ISBN

978-3-030-98259-1

Kniha

Modelling and Simulation for Autonomous Systems

Strany od

215

Strany do

226

Strany počet

12

URL

https://link.springer.com/chapter/10.1007/978-3-030-98260-7_13#chapter-info

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",
  pages="215--226",
  publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
  address="CHAM",
  doi="10.1007/978-3-030-98260-7\{_}13",
  isbn="978-3-030-98259-1",
  url="https://link.springer.com/chapter/10.1007/978-3-030-98260-7_13#chapter-info"
}