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Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition

9 years 8 months ago
Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition
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.
Xiaoou Tang, Zhifeng Li
Added 12 Oct 2009
Updated 29 Oct 2009
Type Conference
Year 2004
Where CVPR
Authors Xiaoou Tang, Zhifeng Li
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