A new algorithm suggests there is information lurking in images that cameras have yet to tap. Like a camera, the human eye has an auto-focusing system, but human auto-focusing rarely makes mistakes. And unlike a camera, humans do not require trial and error to focus an object.
Researchers have figured out how to extract information from an individual image to determine how far objects are from the focus distance, a feat only accomplished by human and animal visual systems until now.
Johannes Burge, a postdoctoral fellow at the University of Texas at Austin and co-author of the study, says it is significant that a statistical algorithm can now determine focus error, which indicates how much a lens needs to be refocused to make the image sharp, from a single image without trial and error.
Full story at Futurity.
(Photo credit: Johannes Burge)
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