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FGR
2004
IEEE

Video Based Face Recognition Using Multiple Classifiers

13 years 8 months ago
Video Based Face Recognition Using Multiple Classifiers
The main advantage of the video based face recognition method is that more information is available in a video sequence than in a single image. In order to take advantage of the large amount of information in the video sequence, we develop a multiple classifiers fusion based video face recognition algorithm. The method preserves all the spatialtemporal information contained in a video sequence. A high recognition rate (98.6%) is achieved on the XM2VTS face video database.
Xiaoou Tang, Zhifeng Li
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where FGR
Authors Xiaoou Tang, Zhifeng Li
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