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2009
IEEE

A 3D Face Model for Pose and Illumination Invariant Face Recognition

9 years 9 months ago
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The power of these models comes at the cost of an expensive and tedious construction process, which has led the community to focus on more easily constructed but less powerful models. With this paper we publish a generative 3D shape and texture model, the Basel Face Model (BFM), and demonstrate its application to several face recognition task. We improve on previous models by offering higher shape and texture accuracy due to a better scanning device and less correspondence artifacts due to an improved registration algorithm. The same 3D face model can be fit to 2D or 3D images acquired under different situations and with different sensors using an analysis by synthesis method. The resulting model parameters separate pose, lighting, imaging and identity parameters, which facilitates invariant face recognition acros...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2009
Where AVSS
Authors Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami Romdhani, Thomas Vetter
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