Abstract

Silhouettes arise in a variety of imaging scenarios. Pristine silhouettes are often degraded with via blurring, detector sampling, and detector noise. We present a maximum a posteriori (MAP) estimator for the restoration of parameterized facial silhouettes.

© 2013 Optical Society of America

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Presentation Video

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