Face Recognition by Incremental Learning

Face Recognition by Incremental Learning
Title:
Face Recognition by Incremental Learning
Other Titles:
Systems, Man and Cybernetics, 2003. IEEE International Conference on (Volume:5 )
Publication Date:
05 October 2003
Citation:
Weimin Huang; Beng Hai Lee; Liyuan Li; Leman, K., "Face recognition by incremental learning," in Systems, Man and Cybernetics, 2003. IEEE International Conference on , vol.5, no., pp.4718-4723 vol.5, 5-8 Oct. 2003
Abstract:
One of the important features for human machine interaction is its ability to recognize human faces. This paper presents a novel architecture suitable for real time robotic face recognition by learning a person's face incrementally, where the Gabor features at respective feature locations of a face are used to derive a similarity measurement. A face tracking followed by a clustering technique is used to learn a person's face appearance variance when the system interacts with the person. The recognition by learning proposed in this paper is similar to the partial memory incremental learning method, where we proposed a novel approach to the learning and updating process. Experiment shows significant improvement in the face recognition performance after learning over the time and with more interaction between a person and the system.
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1062-922X
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