Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

A Survey of Corner Detection Methods

Authors
Junqing Wang, Weichuan Zhang
Corresponding Author
Junqing Wang
Available Online March 2018.
DOI
https://doi.org/10.2991/iceea-18.2018.47How to use a DOI?
Keywords
corner detection; feature extraction; algorithm research
Abstract
In this paper, we present an overview of various corner detection approaches that have been proposed in the last four decades. Corner detection algorithms can be divided into intensity-based, contour-based and model-based methods. Intensity-based methods are mainly based on measuring local intensity variation of image. Contour-based methods find corners by analyzing the shape of edge contour. Model-based methods extract corners by fitting the local image into a predefined model. Meanwhile, the problems of the existing corner detection methods are given.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-497-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceea-18.2018.47How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Junqing Wang
AU  - Weichuan Zhang
PY  - 2018/03
DA  - 2018/03
TI  - A Survey of Corner Detection Methods
BT  - 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.47
DO  - https://doi.org/10.2991/iceea-18.2018.47
ID  - Wang2018/03
ER  -