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 …

Abstract" If I provide you a face image of mine (without telling you the actual age when I took
the picture) and a large amount of face images that I crawled (containing labeled faces of …

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

To minimize the effects of age variation in face recognition, previous work either extracts
identity-related discriminative features by minimizing the correlation between identity-and …

The two underlying requirements of face age progression, ie aging accuracy and identity
permanence, are not well studied in the literature. In this paper, we present a novel …

To minimize the impact of age variation on face recognition, age-invariant face recognition
(AIFR) extracts identity-related discriminative features by minimizing the correlation between …

We address the problem of single photo age progression and regression—the prediction of
how a person might look in the future, or how they looked in the past. Most existing aging …

Despite the remarkable progress in face recognition related technologies, reliably
recognizing faces across ages remains a big challenge. The appearance of a human face …

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 …

Face verification in the presence of age progression is an important problem that has not
been widely addressed. In this paper, we study the problem by designing and evaluating …