Carnegie Mellon creates computerized method for matching images in photos,
paintings, sketches

PITTSBURGH -- Computers can mimic the human ability to find visually
similar images, such as photographs of a fountain in summer and in winter,
or a photograph and a painting of the same cathedral, by using a technique
that analyzes the uniqueness of images, say researchers at Carnegie Mellon
University's School of Computer Science.

The research team, led by Alexei Efros, associate professor of computer
science and robotics, and Abhinav Gupta, assistant research professor of
robotics, found that their surprisingly simple technique performed well on
a number of visual tasks that normally stump computers, including matching
sketches of automobiles with photographs of cars.



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Source: http://www.eurekalert.org/pub_releases/2011-12/cmu-cmc120611.php
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