Feature Collation based on The Generalized Hough Transform

DOI

10.2991/icmii-15.2015.158How to use a DOI?

Keywords

feature collation; maximal clique; generalized Hough transform

Abstract

This paper mainly discussed the problem of recognizing objects by their features. The maximal clique approach is seen to be capable of finding solutions to recognize objects and scene analysis. The main focus of this thesis is studied that the GHT is particularly well suited to object detection in real space as it is one type of spatial matched filter. Finally, this paper compared the computational requirements of the maximal clique and GHT approaches to object location. The computational problems of the GHT are examined more generally.

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  - Feature Collation based on The Generalized Hough Transform
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 901
EP  - 905
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.158
DO  - 10.2991/icmii-15.2015.158
ID  - Song2015/10
ER  -