Computers Get 3D View Of World

Carnegie Mellon researchers Alexei Efros and Martial Hebert, along with graduate student Derek Hoiem, have succeeded in teaching computers how to spot the visual cues that let thinking beings distinguish between vertical surfaces and horizontal surfaces in photographs of outdoor scenes. The computer to can automatically generate 3-D reconstructions of scenes based on a single image.


(Computer takes photo (top left), generates 3D views)

This remarkable advance should help computers serve us better in our three-dimensional world, a place that machine vision has been persistently unable to understand. Hoiem showed the computer 300 images from Google; statistical associations were made between shapes, shadings and other aspects of each view.

According to the Carnegie Mellon press release, computer science researchers concluded that this task was impossible, or computationally impractical, by 1980.

Take a look at the problem of Processing Three-Dimensional Video In Real Time. Read more about Carnegie Mellon Researchers Teach Computers To Perceive Three Dimensions in 2-D Images; thanks to Adi for pointing this one out.

Scroll down for more stories in the same category. (Story submitted 6/19/2006)

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