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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
ASCII Text
x 
 
Xiaoou Tang, Zhifeng Li, "Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 902-907, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/CVPR.2004.111,
author = {Xiaoou Tang and Zhifeng Li},
title = {Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {2},
year = {2004},
issn = {1063-6919},
pages = {902-907},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.111},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition
SN - 1063-6919
SP902
EP907
A1 - Xiaoou Tang,
A1 - Zhifeng Li,
PY - 2004
KW - null
VL - 2
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Xiaoou Tang, Chinese University of Hong Kong
Zhifeng Li, Chinese University of Hong Kong
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.
Citation:
Xiaoou Tang, Zhifeng Li, "Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition," cvpr, vol. 2, pp.902-907, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
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