venkatesh-facerecognitionvia-2007.pdf (201.36 kB)
Face recognition via the overlapping energy histogram
conference contribution
posted on 2007-01-01, 00:00 authored by R Tjahyadi, W Liu, S An, Svetha VenkateshSvetha VenkateshIn 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.
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Event
International Joint Conference on Artificial Intelligence (20th : 2007 : Hyderabad, India)Pagination
2891 - 2896Publisher
AAAI PressLocation
Hyderabad, IndiaPlace of publication
San Francisco, Calif.Start date
2007-01-06End date
2007-01-12ISBN-13
9781577352983Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2007, AAAI PressEditor/Contributor(s)
M VelosoTitle of proceedings
IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial IntelligenceUsage metrics
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