ML Anthology

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

Xiaoou Tang, Zhifeng Li
CVPR 2004 pp. 902-907
doi:10.1109/CVPR.2004.111 /cvpr/2004/tang2004cvpr-frame/

Abstract

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.

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Cite

Text

Tang and Li. "Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.111

Markdown

[Tang and Li. "Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/tang2004cvpr-frame/) doi:10.1109/CVPR.2004.111

BibTeX

@inproceedings{tang2004cvpr-frame,
  title     = {{Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition}},
  author    = {Tang, Xiaoou and Li, Zhifeng},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {902-907},
  doi       = {10.1109/CVPR.2004.111},
  url       = {https://mlanthology.org/cvpr/2004/tang2004cvpr-frame/}
}