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.
The team from the Robotics Institute and Computer Science Department will present its findings on “data-driven uniqueness” on Dec. 14 at SIGGRAPH Asia, a computer graphics and interactive techniques conference in Hong Kong. Their research paper is available online.
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