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Feature Extraction Methods for Real-Time Face Detection and Classification
oleh: Masip David, Bressan Marco, Vitrià Jordi
| Format: | Article |
|---|---|
| Diterbitkan: | SpringerOpen 2005-01-01 |
Deskripsi
<p/> <p>We propose a complete scheme for face detection and recognition. We have used a Bayesian classifier for face detection and a nearest neighbor approach for face classification. To improve the performance of the classifier, a feature extraction algorithm based on a modified nonparametric discriminant analysis has also been implemented. The complete scheme has been tested in a real-time environment achieving encouraging results. We also show a new boosting scheme based on adapting the features to the misclassified examples, achieving also interesting results.</p>