Publication detail
Outline of Tube Elbow Detection Based on GAC
BYRTUS, R. DEREVIANKO, A. VAŠÍK, P.
English title
Outline of Tube Elbow Detection Based on GAC
Type
conference paper
Language
en
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.
English 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 in English
Conic fitting;Contour detection;Geometric algebra for conics
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
Volume
2020
Number
12221
Edition number
12221
Pages from–to
482–491
Pages count
10
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",
volume="2020",
number="12221",
month="October",
pages="482--491",
publisher="Springer Science and Business Media Deutschland GmbH",
address="Switzerland",
isbn="978-3-030-61863-6"
}