Corner Detection Problem and Efficient Methods

DOI

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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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  - 10.2991/icmii-15.2015.82
ID  - Song2015/10
ER  -