Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Review on Corner Detection Algorithms

Authors
Xing-Fu Zhang, Yan-Bo Li, Jing-Feng Song
Corresponding Author
Xing-Fu Zhang
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.79How to use a DOI?
Keywords
corner detection; harris; sift; surf; orb
Abstract
Corner detection algorithms are widely used in image recognition, image matching and edge detection. Accurately finding a corner in a image can greatly improves the algorithms accuracy of the above research areas. So many scientists and researchers have begun to the hot research field and have made much remarkable achievements. The paper introduced the theory of classic corner detection algorithm, including Harris algorithm, surf and sift algorithm, ORB algorithm, Susan algorithm and so on, And compared the difference of classic algorithms. Then, the recently outstanding algorithm and its application are introduced. Finally, the paper summarizes the research trends about corner detection algorithms.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.79How 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  - Xing-Fu Zhang
AU  - Yan-Bo Li
AU  - Jing-Feng Song
PY  - 2016/12
DA  - 2016/12
TI  - Review on Corner Detection Algorithms
PB  - Atlantis Press
SP  - 369
EP  - 373
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.79
DO  - https://doi.org/10.2991/icwcsn-16.2017.79
ID  - Zhang2016/12
ER  -