A Survey of Corner Detection Methods

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junqing Wang
AU  - Weichuan Zhang
PY  - 2018/03
DA  - 2018/03
TI  - A Survey of Corner Detection Methods
BT  - Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SP  - 214
EP  - 219
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.47
DO  - 10.2991/iceea-18.2018.47
ID  - Wang2018/03
ER  -