Biological and Computer Vision, a book by Harvard Medical University Professor Gabriel Kreiman, details how billions of years of evolution have equipped humans with a complicated visual processing system, and how studying it has helped inspire better computer vision algorithms.
In a discussion, Kreiman contends that a theory of vision must be defined at a level that can be implemented in computers in a way that is comparable to living beings, what he calls the "Goldilocks resolution," a level of abstraction that is neither too detailed nor too simplified.
"We probably do not need units with 20,000 proteins and a cytoplasm and complex dendritic geometries. That would be too much biological detail. On the other hand, we cannot merely study behavior—that is not enough detail."
From TechTalks
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