Human age, as an important personal trait, can be directly inferred by distinct patterns
emerging from the facial appearance. Derived from rapid advances in computer graphics …

Facial aging adversely impacts performance of face recognition and face verification and
authentication using facial features. This stochastic personalized inevitable process poses …

Recently, promising results have been shown on face recognition researches. However,
face recognition and retrieval across age is still challenging. Unlike prior methods using …

Kinship verification from facial images is an interesting and challenging problem in computer
vision, and there are very limited attempts on tackle this problem in the literature. In this …

While recognition of most facial variations, such as identity, expression, and gender, has
been extensively studied, automatic age estimation has rarely been explored. In contrast to …

We investigate the biologically inspired features (BIF) for human age estimation from faces.
As in previous bio-inspired models, a pyramid of Gabor filters are used at all positions of the …

Estimating human age automatically via facial image analysis has lots of potential real-world
applications, such as human computer interaction and multimedia communication. However …

One of the challenges in automatic face recognition is to achieve temporal invariance. In
other words, the goal is to come up with a representation and matching scheme that is …

We propose a craniofacial growth model that characterizes growth related shape variations
observed in human faces during formative years. The model draws inspiration from the …

Recently, extensive studies on human faces in the human-computer interaction (HCI) field
reveal significant potentials for designing automatic age estimation systems via face image …