Review on Corner Detection Algorithms

DOI

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.

Copyright

© 2017, 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  - Xing-Fu Zhang
AU  - Yan-Bo Li
AU  - Jing-Feng Song
PY  - 2016/12
DA  - 2016/12
TI  - Review on Corner Detection Algorithms
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 369
EP  - 373
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.79
DO  - 10.2991/icwcsn-16.2017.79
ID  - Zhang2016/12
ER  -