The face and gesture recognition network (FG‐NET) ageing database was released in 2004
in an attempt to support research activities aimed at understanding the changes in facial …

Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Computational facial models that capture properties of facial cues related to aging and
kinship increasingly attract the attention of the research community, enabling the …

In this paper, an effective approach is proposed for automatic 4D Facial Expression
Recognition (FER). It combines two growing but disparate ideas in the domain of computer …

Many scientific disciplines are faced with the challenge of extracting meaningful information
from large, complex and highly structured datasets. A significant portion of contemporary …

Humans present clear demographic traits which allow their peers to recognize their gender
and ethnic groups as well as estimate their age. Abundant literature has investigated the …

Following previous series on Looking at People (LAP) challenges [1],[2],[3], in 2015
ChaLearn runs two new competitions within the field of Looking at People: age and cultural …

Human activity recognition is one of the most challenging and active areas of research in the
computer vision domain. However, designing automatic systems that are robust to significant …

Despite being increasingly easy to acquire, 3D data is rarely used for face-based biometrics
applications beyond identification. Recent work in image-based demographic biometrics …

Many scientific areas are faced with the challenge of extracting information from large,
complex, and highly structured data sets. A great deal of modern statistical work focuses on …