A new method devised by computer scientists at Carnegie Mellon University's Robotics Institute enables computers to gain a deeper understanding of an image by reasoning about the physical constraints of the scene. In much the same way that a child might use a set of toy building blocks to assemble something that looks like a building depicted on the cover of the toy set, the computer would analyze an outdoor scene byrnusing virtual blocks to build a 3-D approximation of the image that makes sense based on volume and mass.
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