The New York Times has an interesting story on a new algorithm by researchers from Tel Aviv University that modifies a facial picture of a person to conform to standards of attractiveness. Based on a digital library of pictures of people who have been judged ‘attractive,’ the algorithm finds the nearest match and modifies an input picture so it conforms to the ‘attractive’ person’s proportions. The trick, however, is that the resultant pictures are still recognizable as the original person. Here’s a quick link to a representative picture of the process. Note that this is a machine-learning approach to picture modification, not a characterization of beauty, and could just as easily be used to make a person less attractive.
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