A Profilometric Approach to 3D Face Reconstruction and Its Application to Face Recognition
3D Face Recognition is an active area of research for past several years. For a 3D face recognition system one would like to have an accurate as well as low cost setup for constructing 3D face model. In this paper, we use Profilometry approach to obtain a 3D face model. This method gives a low cost solution to the problem of acquiring 3D data and the 3D face models generated by this method are sufficiently accurate. We also develop an algorithm that can use the 3D face model generated by the above method for the recognition purpose.
KeywordsFace Recognition Fringe Pattern Gabor Wavelet Active Appearance Model Face Recognition Algorithm
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- 5.Lee, J.C., Milios, E.: Matching range images of human faces. In: International Conference on Computer Vision, pp. 722–726 (1990)Google Scholar
- 6.Medioni, G., Waupotitsch, R.: Face recognition and modeling in 3d. In: IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), October 2003, pp. 232–233 (2003)Google Scholar
- 7.Bowyer, K.W., Chang, K., Flynn, P.: A Survey Of 3D and Multi-Modal 3D+2D Face Recognition. In: International Conference on Pattern Recognition (ICPR) (2004)Google Scholar
- 13.Lee, Y., Yi, T.: 3D face recognition using multiple features for local depth information. In: 4th EURASIP Conference focused on Video I Imaae Pmcessina and Multimedia Communications, Zagreb, Croatia, July 2-5 (2003)Google Scholar