Face Recognition via the Overlapping Energy Histogram
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2891-2895.
Abstract
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.
@inproceedings{ijcai2007p465,
title = {Face Recognition via the Overlapping Energy Histogram},
author = {Tjahyadi, Ronny and Liu, Wanquan and An, Senjian and Venkatesh, Svetha},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2891--2895},
year = {2007},
url = {https://ijcai.org/proceedings/2007/465},
}
TY - CPAPER TI - Face Recognition via the Overlapping Energy Histogram AU - Tjahyadi, Ronny AU - Liu, Wanquan AU - An, Senjian AU - Venkatesh, Svetha T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2891 EP - 2895 UR - https://ijcai.org/proceedings/2007/465 ER -Copied
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