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Hallucinating Faces
This project is no longer active.
Head: Simon Baker
Contact: Simon Baker
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Overview
We have developed an algorithm that can be used to learn a prior on the spatial distribution of the image gradient for frontal images of faces. We have shown how such a prior can be incorporated into a super-resolution algorithm to yield 4-8 fold improvements in resolution (16-64 times as many pixels) using as few as 2-3 images. The additional pixels are, in effect, hallucinated. An example of the results of our algorithm is shown below: