Object classification for human and ideal observers

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چکیده

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Object classification for human and ideal observers

We describe a novel approach, based on ideal observer analysis, for measuring the ability of human observers to use image information for 3D object perception. We compute the statistical efficiency of subjects relative to an ideal observer for a 3D object classification task. After training to 11 different views of a randomly shaped thick wire object, subjects were asked which of a pair of nois...

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ژورنال

عنوان ژورنال: Vision Research

سال: 1995

ISSN: 0042-6989

DOI: 10.1016/0042-6989(94)00150-k