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Facial performance capture is the process of automatically animating a digital face according to a captured performance of an actor. Recent developments in this area have focused on high‐quality results using expensive head‐scanning equipment and camera rigs. These methods produce impressive animations that accurately capture subtle details in an actor's performance. However, these methods are accessible...
We present a new depth from defocus method based on the assumption that a per pixel blur estimate (related with the circle of confusion), while ambiguous for a single image, behaves in a consistent way when applied over a focal stack of two or more images. This allows us to fit a simple analytical description of the circle of confusion to the different per pixel measures to obtain approximate depth...
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