(credit: Thomas Tolkien)
Computers have started to get really good at visual recognition. They can sometimes rival humans at recognizing the objects in a series of images. But does the similar end result mean that computers are mimicking the human visual system? Answering that question would indicate if there are still some areas where computer systems can't keep up with humans.
So, a new PNAS paper takes a look at just how different computer and human visual systems are.
The difference really boils down to the flexibility that human brains have and computers don’t. It’s much the same problem that speech recognition system face: humans can figure out that a mangled word “meant” something recognizable while a computer can’t. Likewise with images: humans can piece together what a blurry image might depict based on small clues in the picture, where a computer would be at a loss.
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