Abstract
AbstractHuman vision is often referred to as an “existence proof” for challenging targets of machine vision. But in some areas machine vision evidently “beats” human vision, so the questions arise: Is human vision any good, will it be supplanted by machine vision for most tasks soon? I analyze human vision with the aim to provide an answer to such questions. Does machine vision still have anything to learn from human vision? I identify a number of basic principles of biological vision that are likely to be of interest to the machine vision community.KeywordsPrincipal CurvatureMachine VisionHuman Visual SystemHuman VisionShape IndexThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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