Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

This paper comprehensively surveys the development of face hallucination (FH), including
both face super-resolution and face sketch-photo synthesis techniques. Indeed, these two …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

The key challenge of face recognition is to develop effective feature representations for
reducing intra-personal variations while enlarging inter-personal differences. In this paper …

Person re-identification is an important technique towards automatic search of a person's
presence in a surveillance video. Two fundamental problems are critical for person re …

Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in
face recognition, specifically for the problem of face verification with unconstrained images …

Making a high-dimensional (eg, 100K-dim) feature for face recognition seems not a good
idea because it will bring difficulties on consequent training, computation, and storage. This …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Conventional representation based classifiers, ranging from the classical nearest neighbor
classifier and nearest subspace classifier to the recently developed sparse representation …

This paper studies the influence of demographics on the performance of face recognition
algorithms. The recognition accuracies of six different face recognition algorithms (three …