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

Author

Tang, Xiaoou ; Li, Zhifeng

Author_Institution

Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China

Volume

2

fYear

2004

fDate

27 June-2 July 2004

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.

Keywords

face recognition; image sequences; synchronisation; video databases; XM2VTS face video database; frame synchronization; multilevel subspace analysis; spatial frame synchronization; spatial-temporal information; temporal frame synchronization; video based face recognition; video cube processing; video sequence; video-to-video face recognition algorithm; Active appearance model; Cameras; Data mining; Face detection; Face recognition; Image recognition; Image sequence analysis; Information analysis; Pattern recognition; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on

ISSN

1063-6919

Print_ISBN

0-7695-2158-4

Type

conf

DOI

10.1109/CVPR.2004.1315261

Filename

1315261