Representation of three-dimensional object similarity in human vision

Outline shape carries a substantial part of the information present in an object view, and is more economical than classical representations such as geon-structural-descriptions or multiple-views. We demonstrate the utility of silhouette representations for a variety of visual tasks, ranging from basic-level categorization to finding the best view of an object. All these tasks necessitate the computation of silhouette similarity. We present an algorithm for estimating silhouette similarity and apply it to a number of simple but realistic vision problems.

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