Title :
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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Print_ISBN :
0-7695-2158-4
DOI :
10.1109/CVPR.2004.1315261
