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Optimal Algorithm Developed for Determining Focus Error

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AUSTIN, Texas, Sept. 27, 2011 — University of Texas researchers have discovered how to extract and use information in an individual image to determine how far objects are from the focus distance, a feat accomplished previously only by human and animal visual systems. As with a camera, the human eye has an autofocusing system, but human autofocusing rarely makes mistakes. And unlike a camera, humans do not require trial and error to focus an object. It is significant that a statistical algorithm can now determine focus error, which indicates how much a lens must be refocused to make the image sharp — from a...Read full article

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    Published: September 2011
    Glossary
    depth perception
    The direct appreciation of the distance between a given object and the observer, or between the front and back of a solid object. Real depth perception is achieved by the retinal disparity formed by the different viewing positions of each eye; in apparent depth, the disparity is formed synthetically; e.g., a stereogram.
    AmericasautofocusingcamerasCenter for Perceptual Systemsdefocus blurdepth perceptiondigital camerasfocus errorhuman visual systemImagingJohannes Burgeoptical modelingProceedings of the National Academy of SciencesResearch & Technologystatistical algorithmsTexasUniversity of Texas AustinWilson Geisler

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