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Face recognition via the overlapping energy histogram

Tjahyadi, Ronny, Liu, Wanquan, An, Senjian and Venkatesh, Svetha 2007, Face recognition via the overlapping energy histogram, in IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence, AAAI Press, San Francisco, Calif., pp. 2891-2896.

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Title Face recognition via the overlapping energy histogram
Author(s) Tjahyadi, Ronny
Liu, Wanquan
An, Senjian
Venkatesh, Svetha
Conference name International Joint Conference on Artificial Intelligence (20th : 2007 : Hyderabad, India)
Conference location Hyderabad, India
Conference dates 6-12 Jan. 2007
Title of proceedings IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence
Editor(s) Veloso, Manuela M.
Publication date 2007
Conference series International Joint Conference on Artificial Intelligence
Start page 2891
End page 2896
Total pages 6
Publisher AAAI Press
Place of publication San Francisco, Calif.
Keyword(s) face recognition
overlapping energy histogram
bins
dataset
Eigenfaces
2DPCA
Summary In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods utilise information obtained from the training dataset. Experimentation is conducted on the Yale face database and results indicate that the proposed parameter selection methods perform well in selecting the threshold and number of bins. Furthermore, we show that the proposed overlapping energy histogram approach outperforms the Eigenfaces, 2DPCA and energy histogram significantly.
ISBN 9781577352983
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2007, AAAI Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044922

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.