The variations of pose lead to significant performance
decline in face recognition systems, which is a bottleneck
in face recognition. A key problem is how to measure the
simila...
Annan Li (Chinese Academy of Sciences), Shiguang S...
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
In this paper, we present a face authentication system that can be broken down in three stages. Prior to feature extraction, a pose correction step is applied, so that frontal fac...
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 powe...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami...