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3DPVT
2006
IEEE

Automatic 3D Face Detection, Normalization and Recognition

9 years 4 months ago
Automatic 3D Face Detection, Normalization and Recognition
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.
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where 3DPVT
Authors Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
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