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Books > Social sciences > Psychology > Cognition & cognitive psychology
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Object Recognition in Man, Monkey, and Machine (Paperback, New)
Loot Price: R988
Discovery Miles 9 880
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Object Recognition in Man, Monkey, and Machine (Paperback, New)
Series: Cognition Special Issue
Expected to ship within 10 - 15 working days
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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 field. Cassandra Moore and Patrick Cavanagh take a classic
demonstration, the perception of "two-tone" images, and turn it
into a method for understanding the nature of object
representations in terms of surfaces and the interaction between
bottom-up and top-down processes. Michael J. Tarr and Isabel
Gauthier use computer graphics to study whether viewpoint-dependent
recognition mechanisms can generalize between exemplars of
perceptually defined classes. Melvyn A. Goodale and G. Keith
Humphrey use innovative psychophysical techniques to investigate
dissociable aspects of visual and spatial processing in
brain-injured subjects. D.I. 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, Philippe G. Schyns
synthesizes work from many areas, to provide a coherent account of
how stimulus class and recognition task interact. The contributors
bring a wide range of methodologies to bear on the common problem
of image-based object recognition.
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