Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
We are interested in the challenging scientific pursuit of how to characterize human activities in any formal meeting situation by tracking people’s positions with a computer vi...
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
Dong Xu, Shuicheng Yan, Lei Zhang, Mingjing Li, We...
A number of studies have demonstrated that infrared (IR) imagery offers a promising alternative to visible imagery due to it's insensitive to variations in face appearance cau...