Super-resolution reconstruction of face image is the problem of reconstructing a high
resolution face image from one or more low resolution face images. Assuming that high and …

Videos can be naturally represented as multidimensional arrays known as tensors.
However, the geometry of the tensor space is often ignored. In this paper, we argue that the …

The recent advances in thin client devices and the push to transition users' desktop delivery
to cloud environments will eventually transform how desktop computers are used today. The …

Automatic face recognition has long been established as one of the most active research
areas in computer vision. Face recognition in unconstrained environments remains …

The emergence of social media as a crucial paradigm has posed new challenges to the
research and industry communities, where media are designed to be disseminated through …

Person recognition using facial features, eg, mug-shot images, has long been used in
identity documents. However, due to the widespread use of web-cams and mobile devices …

The information of the psycho-physical state of the subject is becoming a valuable addition
to the modern audio or video recognition systems. As well as enabling a better user …

Rough face alignments lead to suboptimal performance of face identification systems. In this
study, we present a novel approach for identifying genders from facial images without proper …

Nearest-neighbor searching is a crucial component in many computer vision applications
such as face recognition, object recognition, texture classification, and activity recognition …

Human action recognition from video sequences is a challenging problem due to the large
changes of human appearance in the cases of partial occlusions, non-rigid deformations …