Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
The problem of reconstructing the 3D face using one image captured from a viewpoint arises in many fields of science and engineering, this paper propose the novel approach for rec...
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...
In this paper, we present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. Highresolution face imag...
Young-Ouk Kim, Joon Ki Paik, Jingu Heo, Andreas Ko...