The rbc model built on marr and nishiharas earlier work on object recognition proposing that objects are represented as collections of volumes or parts what rbc added however were additional syntactic constraints that specified the allowable types of volumes how such volumes might be recovered from 2d images and the types of qualitative spatial relations that connect such volumes rbc also followed the stricture that object representations should be stable and consequently . Object recognition in man monkey and machine object recognition in man monkey and machine edited by michael j tarr and heinrich h bulthoff the contributors bring a wide range of methodologies to bear on the common problem of image based object recognition. Image based object recognition in man monkey and machine michael j tarra heinrich h bulthoffb abrown university department of cognitive and linguistic sciences po box 1978 providence ri 02912 usa bmax planck institut fu r biologische kybernetik tubingen germany abstract. 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 . Editors michael j tarr brown univ providence ri heinrich h bulthoff max planck institute of biological cybernetics tubingen germany
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