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Automatic 3D Face Detection, Normalization and Recognition

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3 Author(s)
Mian, A. ; Sch. of Comput. Sci. & Software Eng., Univ. of Western Australia, Crawley, WA ; Bennamoun, M. ; Owens, R.

A fully automatic 3D face recognition algorithm is presented. Several novelties are introduced to make the recognition robust to facial expressions and efficient. These novelties include: (1) Automatic 3D face detection by detecting the nose; (2) Automatic pose correction and normalization of the 3D face as well as its corresponding 2D face using the Hotelling transform; (3) A spherical face representation and its use as a rejection classifier to quickly reject a large number of candidate faces for efficient recognition; and (4) Robustness to facial expressions by automatically segmenting the face into expression sensitive and insensitive regions. Experiments performed on the FRGC Ver 2.0 dataset (9,500 2D/3D faces) show that our algorithm outperforms existing 3D recognition algorithms. We achieved verification rates of' 99.47% and 94.09% at 0.001 FAR and identification rates of 98.03% and 89.25% for probes with neutral and non-neutral expression respectively.

Published in:

3D Data Processing, Visualization, and Transmission, Third International Symposium on

Date of Conference:

14-16 June 2006

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