2005 IEEE International Conference on Multimedia and Expo A SOM-wavelet networks for face identification Amsterdam, Netherlands July 06-July 06 ISBN: 0-7803-9331-7
This paper describes a novel SOM-wavelet networks method for face recognition. We employed a SOM algorithm, which is based on the structure of a biological model, to extract shape feature of face. After the unsupervised learning, each face image will produce a shape-based vector named representative face. A wavelet network is applied to face identification to collect global information from a face image. Then we proposed a new approach to compute the similarity between two faces on both the global means and topological means. The experimental results are compared with other effective face identification methods and our proposed method showed a good performance.
Index Terms:
face image representation, SOM-wavelet networks method, self-organizing map, face recognition, biological model, shape feature extraction, unsupervised learning, shape-based vector, global information, face identification method
Citation:
null Yang Zhi, null Gu Ming, "A SOM-wavelet networks for face identification," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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