Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Corner Detection Problem and Efficient Methods

Authors
Lijuan Song
Corresponding Author
Lijuan Song
Available Online October 2015.
DOI
https://doi.org/10.2991/icmii-15.2015.82How to use a DOI?
Keywords
corner detection; Harris operator; Hessian operator; SURF operator
Abstract

Corner detection provides a useful start to the process of object location. This paper mainly revolves around the four operators, which include the Harris operator, the Hessian operator, the SIFT operator and the SURF operator. Finally there are comparisons between the various feature detectors. The main focus of this thesis is studied how objects may be detected and located from their corners and interest points. It has developed both the classic approach to detector design and the more recent invariant approaches, which result in multiparameter feature descriptors to aid matching between widely separated views of objects.

Copyright
© 2015, 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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Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmii-15.2015.82How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Lijuan Song
PY  - 2015/10
DA  - 2015/10
TI  - Corner Detection Problem and Efficient Methods
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 480
EP  - 486
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.82
DO  - https://doi.org/10.2991/icmii-15.2015.82
ID  - Song2015/10
ER  -