loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: L. M. Mestetskiy

Affiliation: Moscow State University, Russian Federation

Keyword(s): Medial Width Function, Skeleton, Bicircle, Voronoi Diagram, Polygonal Figure, Circular Figure.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Shape Representation and Matching

Abstract: The paper proposes the concept of building the so-called medial width function - integral shape descriptor of figures used in image recognition tasks. Medial width function is determined based on the skeleton of the shape and the radial function. An algorithm to compute the medial width function for polygonal figures based on the line segment Voronoi diagram is also presented here. Generalized solution to the circular figures obtained by rounding corners in a polygonal figure is presented. Computational experiment demonstrates the efficiency and effectiveness of the approach to the problem of palm shapes comparing for personal identification.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.140.185.170

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mestetskiy, L. (2015). Medial Width of Polygonal and Circular Figures - Approach via Line Segment Voronoi Diagram. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 379-386. DOI: 10.5220/0005261903790386

@conference{visapp15,
author={L. M. Mestetskiy.},
title={Medial Width of Polygonal and Circular Figures - Approach via Line Segment Voronoi Diagram},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={379-386},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005261903790386},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Medial Width of Polygonal and Circular Figures - Approach via Line Segment Voronoi Diagram
SN - 978-989-758-089-5
IS - 2184-4321
AU - Mestetskiy, L.
PY - 2015
SP - 379
EP - 386
DO - 10.5220/0005261903790386
PB - SciTePress