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.
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
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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.