| Abstract | Facial aging, a new dimension that has recently beenadded to the problem of face recognition, poses interesting theo-
retical and practical challenges to the research community. The
problem which originally generated interest in the psychophysics
and human perception community, has recently found enhanced
interest in the computer vision community. How do humans
perceive age ? What constitutes an age-invariant signature that
can be derived from faces ? How compactly can the facial growth
event be described ? How does facial aging impact recognition
performance ? In this paper, we give a thorough analysis on the
problem of facial aging and further provide a complete account
of the many interesting studies that have been performed on this
topic from different fields. We offer a comparative analysis of
various approaches that have been proposed for problems such
as age estimation, appearance prediction, face verification etc.
and offer insights into future research on this topic.
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