The contributors bring a wide range of methodologies to bear on the common problem of image based object recognition these interconnected essays on three dimensional visual object recognition present cutting edge research by some of the most creative neuroscientific cognitive and computational scientists in the fieldcassandra moore and patrick cavanagh take a classic demonstration the . Perrett m w oram and e ashbridge combine neurophysiological single cell data from monkeys with computational analyses for a new way of thinking about the mechanisms that mediate viewpoint dependent object recognition and mental rotation shimon ullman also addresses possible mechanisms to account for viewpoint dependent behavior but from the perspective of machine vision finally . Perrett oram and wachsmuth combine neurophysiological single cell data from monkeys with computational analyses to provide a new way of thinking about the mechanisms that mediate viewpoint dependent object recognition and mental rotation ullmans work also addresses possible mechanisms that may account for viewpoint dependent behavior but from the perspective of machine vision finally schyns synthesizes work from many areas providing a coherent account of how stimulus class . Mit press 1999 gbp1750 2500 217 pages. T1 image based object recognition in man monkey and machine au tarr michael j au bulthoff heinrich h py 1998 7 17 y1 1998 7 17 n2 theories of visual object recognition must solve the problem of recognizing 3d objects given that perceivers only receive 2d patterns of light on their retinae recent findings from human psychophysics neurophysiology and machine vision provide converging evidence for image based models in which objects are represented as collections of
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