Contour-based Shape Recognition using Perceptual Turning Points

Loke Kar Seng

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Paper

Contour-based Shape Recognition using Perceptual Turning Points

Topics: Features Extraction; Shape Representation and Matching

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 487-491, 2013 , Barcelona, Spain

Author: Loke Kar Seng

Affiliation: Monash University Sunway Campus, Malaysia

Keyword(s): Shape Recognition, Turning Points, Contour Extraction.

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

Abstract: This paper presents a new biological and psychologically motivated edge contour feature that could be used for shaped based object recognition. Our experiments indicate that this new feature perform as well or better than existing methods. This method have the advantage that computation is comparatively is simpler.

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Paper citation in several formats:

Seng, L. (2013). Contour-based Shape Recognition using Perceptual Turning Points. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 487-491. DOI: 10.5220/0004304804870491

@conference{visapp13,
author={Loke Kar Seng.},
title={Contour-based Shape Recognition using Perceptual Turning Points},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={487-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004304804870491},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Contour-based Shape Recognition using Perceptual Turning Points
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Seng, L.
PY - 2013
SP - 487
EP - 491
DO - 10.5220/0004304804870491
PB - SciTePress