The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Face analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …

Deep learning has received significant attention recently as a promising solution to many
problems in the area of artificial intelligence. Among several deep learning architectures …

We show how a simple convolutional neural network (CNN) can be trained to accurately and
robustly regress 6 degrees of freedom (6DoF) 3D head pose, directly from image intensities …

Age estimation from a single face image has been an essential task in the field of human-
computer interaction and computer vision, which has a wide range of practical application …

Different ages are closely related especially among the adjacent ages because aging is a
slow and extremely non-stationary process with much randomness. To explore the …

Age estimation is a challenging task, because it can be easily affected by gender, race, and
other intrinsic and extrinsic attributes. At the same time, performing age estimation for a …

The age estimation task aims to use facial features to predict the age of people and is widely
used in public security, marketing, identification, and other fields. However, the features are …

An important research direction in speech technology is robust cross-corpus and cross-
language emotion recognition. In this paper, we propose computationally efficient and …

Age estimation using face images is an exciting and challenging task. The traits from the
face images are used to determine age, gender, ethnic background, and emotion of people …