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Face detection by neural network trained with Zernike moments
| Content Provider | Semantic Scholar |
|---|---|
| Author | Saaidia, Mohammed Lelandais, Sylvie Vigneron, Vincent Bedda, El-Mouldi |
| Copyright Year | 2007 |
| Abstract | We present in this communication a new method to localize a face in an image. The originality of work presented consists on the use of vectors of geometrical moments like entries to a Forward Back-Propagation neural network which provide at its output layer a vector of co-ordinates in (R,θ) representing pixels surrounding the face contained in the treated image. Very known for their orthogonality and their rotational invariability, the geometrical moments of Zernike are calculated here to form the feature vectors supplied to the input layer of the network. The experimental results of the application of our method on images of the XM2VTS database are presented. |
| Starting Page | 36 |
| Ending Page | 41 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.researchgate.net/profile/Mohammed_Saaidia/publication/242080679_Face_detection_by_neural_network_trained_with_Zernike_moments/links/02e7e52a8e9c0766f8000000.pdf |
| Alternate Webpage(s) | http://univ-soukahras.dz/eprints/2007-150-50b26.pdf |
| Alternate Webpage(s) | http://www.wseas.us/e-library/conferences/2007corfu/papers/540-315.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
