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Frame synchronization and multi-level subspace analysis for video based face recognition

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2 Author(s)
Xiaoou Tang ; Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China ; Zhifeng Li

In this paper, we develop a new video-to-video face recognition algorithm. The major advantage of the video based 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 and at the same time overcome the processing speed and data size problems we develop several new techniques including temporal and spatial frame synchronization and multi-level subspace analysis for video cube processing. The method preserves all the spatial-temporal information contained in a video sequence. Near perfect classification results are obtained on the XM2VTS face video database.

Published in:
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on  (Volume:2 )

Date of Conference: 27 June-2 July 2004

Page(s):
II-902 - II-907 Vol.2
ISSN :
1063-6919
Print ISBN:
0-7695-2158-4
INSPEC Accession Number:
8169000
Digital Object Identifier :
10.1109/CVPR.2004.1315261
Product Type:
Conference Publications

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