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...
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
3D Human face models have been widely used in applications such as face recognition, facial expression recognition, human action recognition, head tracking, facial animation, vide...
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...