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Removing Ambiguity in 2D Video Imagery by Means of 3D Models

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Abstract

If moving objects in low-resolution 2D video imagery are placed in their 3D context, ambiguities concerning the identity of the objects can often be removed. We consider the case of detecting distant humans that subtend only tens of pixels in digital video. We also make observations on what appears to be a potential paradigm shift regarding what constitutes an image.

© 2008 Optical Society of America

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