This link has been bookmarked by 27 people . It was first bookmarked on 17 Aug 2008, by Dorota Tylus.
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gaurav bhatia
The key component in our approach is an automatic facial attractiveness engine trained on datasets of faces with accompanying facial attractiveness ratings collected from groups of human raters. Given a new face, we extract a set of distances between a variety of facial feature locations, which define a point in a high-dimensional “face space”. We then search the face space for a nearby point with a higher predicted attractiveness rating. Once such a point is found, the corresponding facial distances are embedded in the plane and serve as a target to define a 2D warp field which maps the original facial features to their adjusted locations. The effectiveness of our technique was exper -
Andrew DeVigalYou mean there isn't a filter in Photoshop for this? Yet...
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rchk !Data-Driven Enhancement of Facial Attractiveness
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