To Appear in the Fourth International Conference on Automatic Face and Gesture Recognition Hallucinating Faces
نویسندگان
چکیده
Faces often appear very small in surveillance imagery because of the wide fields of view that are typically used and the relatively large distance between the cameras and the scene. For tasks such as face recognition, resolution enhancement techniques are therefore generally needed. Although numerous resolution enhancement algorithms have been proposed in the literature, most of them are limited by the fact that they make weak, if any, assumptions about the scene. We propose an algorithm to learn a prior on the spatial distribution of the image gradient for frontal images of faces. We proceed to show how such a prior can be incorporated into a resolution enhancement algorithm to yield 4–8 fold improvements in resolution (i.e. 16–64 times as many pixels). The additional pixels are, in effect, hallucinated.
منابع مشابه
Best of Automatic Face and Gesture Recognition 2008
The goal of this special issue is to provide a state-of-the-art overview of new paradigms, methods, and challenges in Automatic Face and Gesture Recognition. As such we have made a selection of the best evaluated papers in The Eighth International Conference on Automatic Face and Gesture Recognition 2008 and we have asked the authors to extend their articles so that they reflect not only the in...
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