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 …

Age invariant face recognition (AIFR) is highly required in many applications like law
enforcement, national databases and security. Recognizing faces across aging is difficult …

This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional …

We present two novel methods for face verification. Our first method-“attribute” classifiers-
uses binary classifiers trained to recognize the presence or absence of describable aspects …

We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …

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 …

Aging variation poses a serious problem to automatic face recognition systems. Most of the
face recognition studies that have addressed the aging problem are focused on age …

In this paper, we present a compositional and dynamic model for face aging. The
compositional model represents faces in each age group by a hierarchical And-or graph, in …

In recent years, wide deployment of automatic face recognition systems has been
accompanied by substantial gains in algorithm performance. However, benchmarking tests …