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Abstract

One of the central questions in object categorisation is how the shape variability of different category members can be accounted for. It was proposed recently that the shape variability of objects from a basic level category usually can be described well with continuous deforming shape transformations (topological or morphing transformations). Previous experiments with line drawings showed that categorisation performance depends systematically on the amount of shape transformation, both in speeded categorisation tasks and rating tasks (Graf, 2002). We investigated whether this systematic dependency holds for grey-level images, and for rotated and shifted objects.