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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Elyan, E. Ugail, H. |
| Copyright Year | 2009 |
| Abstract | 3D face recognition is attracting more attention due to the recent development in 3D facial data acquisition techniques. It is strongly believed that 3D Face recognition systems could overcome the inherent problems of 2D face recognition such as facial pose variation, illumination, and variant facial expression. In this paper we present a novel technique for 3D face recognition system using a set of parameters representing the central region of the face. These parameters are essentially vertical and cross sectional profiles and are extracted automatically without any prior knowledge or assumption about the image pose or orientation. In addition, these profiles are stored in terms of their Fourier Coefficients in order to minimize the size of input data. Our approach is validated and verified against two different datasets of 3Dimages covers enough systematic and pose variation. High recognition rate was achieved. |
| Starting Page | 246 |
| Ending Page | 252 |
| File Size | 663627 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424448647 |
| DOI | 10.1109/CW.2009.48 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-07 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face recognition Lighting Principal component analysis Informatics Data acquisition Data mining Solids Robustness Sampling methods System testing 3D images 2D Face Recognition 3D Face Recognition |
| Content Type | Text |
| Resource Type | Article |
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