In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Abstract. Motivated by image perturbation and the geometry of manifolds, we present a novel method combining these two elements. First, we form a tangent space from a set of pertur...
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
The previous work of the authors has shown that physiological
information on the face can be extracted from
thermal infrared imagery and can be used as a biometric.
Although, th...
Pradeep Buddharaju (University of Houston), Ioanni...
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...