Publication detail

Outline of Tube Elbow Detection Based on GAC

BYRTUS, R. DEREVIANKO, A. VAŠÍK, P.

Original Title

Outline of Tube Elbow Detection Based on GAC

Type

conference paper

Language

English

Original Abstract

We outline an algorithm for camera–based tube elbow detection provided that a moving camera is placed in the tube axis together with a light source. We claim that once an elbow is approached, circular contour is replaced by an elliptical one and the displacement of respective circle and ellipse centres is proportional to the elbow angle. We provide Python code for computation in Geometric Algebra for Conics (GAC), parameter extraction and an example of proportionality.

Keywords

Conic fitting;Contour detection;Geometric algebra for conics

Authors

BYRTUS, R.; DEREVIANKO, A.; VAŠÍK, P.

Released

18. 10. 2020

Publisher

Springer Science and Business Media Deutschland GmbH

Location

Switzerland

ISBN

978-3-030-61863-6

Book

Advances in Computer Graphics

Edition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Edition number

12221

Pages from

482

Pages to

491

Pages count

10

URL

http://springer.nl.go.kr/chapter/10.1007/978-3-030-61864-3_41

BibTex

@inproceedings{BUT166280,
  author="Roman {Byrtus} and Anna {Derevianko} and Petr {Vašík}",
  title="Outline of Tube Elbow Detection Based on GAC",
  booktitle="Advances in Computer Graphics",
  year="2020",
  series="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
  volume="2020",
  number="12221",
  pages="482--491",
  publisher="Springer Science and Business Media Deutschland GmbH",
  address="Switzerland",
  doi="10.1007/978-3-030-61864-3\{_}41",
  isbn="978-3-030-61863-6",
  url="http://springer.nl.go.kr/chapter/10.1007/978-3-030-61864-3_41"
}