MIT Research Mimics How Humans Recognize Street Scene
February 27, 2007 1:03 PM
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MIT researchers create world's first computer model that is able to adequately mimic artificial vision
Scientists in Tomaso Poggio's laboratory at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology have
developed a computational model of how the human brain processes visual information
that specifically mimics how it recognizes street scenes. The research could be used to help repair damaged brain functions while helping researchers further understand some of the locked mysteries of the brain.
The original intent behind the research for Poggio has been to successfully develop a model that would be able accurately portray a visual system that would not only be good for neuroscientists and psychologist but also for purposes related to computer science. "That was Alan Turing's original motivation in the 1940s. But in the last 50 years, computer science and AI have developed independently of neuroscience. Our work is biologically inspired computer science."
In the enclosed image, the Poggio model for object recognition is able to receive input as regular unlabeled images of digital images from a Street Scene Database and will then generate an annotation that detects important parts of the street scene. The system is also able to detect cyclists, buildings, trees, different roads, and the sky.
One of the biggest drawbacks of better development of artificial intelligence is that the human brain is mysterious and extremely complicated to mimic. While computers are obviously much faster, humans are smarter -- drawing a bridge between the two has been difficult.
This article is over a month old, voting and posting comments is disabled
2/27/2007 3:25:00 PM
haha well, I suppose you could call it a "pedestrian," in an extremely literal sense. After all, it has feet ("ped").
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