Face recognition has been actively studied over the past decade
and continues to be a big research challenge. Just recently,
researchers have begun to investigate face recognition under
unconstrained conditions. Unconstrained Face Recognition provides a
comprehensive review of this biometric, especially face recognition
from video, assembling a collection of novel approaches that are
able to recognize human faces under various unconstrained
situations. The underlying basis of these approaches is that,
unlike conventional face recognition algorithms, they exploit the
inherent characteristics of the unconstrained situation and thus
improve the recognition performance when compared with conventional
algorithms.
Unconstrained Face Recognition is structured to meet the needs
of a professional audience of researchers and practitioners in
industry. This volume is also suitable for advanced-level students
in computer science.
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