Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2009-12-03
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 2, pp. 042-047, November 2009, USA
Computer Science
Computer Vision and Pattern Recognition
6 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS November 2009, ISSN 1947 5500,
Scientific paper
Multiview 3D face modeling has attracted increasing attention recently and has become one of the potential avenues in future video systems. We aim to make more reliable and robust automatic feature extraction and natural 3D feature construction from 2D features detected on a pair of frontal and profile view face images. We propose several heuristic algorithms to minimize possible errors introduced by prevalent nonperfect orthogonal condition and noncoherent luminance. In our approach, we first extract the 2D features that are visible to both cameras in both views. Then, we estimate the coordinates of the features in the hidden profile view based on the visible features extracted in the two orthogonal views. Finally, based on the coordinates of the extracted features, we deform a 3D generic model to perform the desired 3D clone modeling. Present study proves the scope of resulted facial models for practical applications like face recognition and facial animation.
Ghahari Alireza
Zoroofi Reza Aghaeizadeh
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