Abstract
Automatic facial expression recognition is a research topic
with interesting applications in the field of human-computer interaction,
psychology and product marketing. The classification accuracy for an
automatic system which uses static images as input is however largely
limited by the image quality, lighting conditions and the orientation of
the depicted face. These problems can be
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