Human perception of 3D shapes

Authors:
Zygmunt Pizlo
Affiliations:
Department of Psychological Sciences, Purdue University, West Lafayette, IN
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

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Abstract

This paper reviews main approaches to 3D shape perception in both human and computer vision. The approaches are evaluated with respect to their plausibility of generating adequate explanations of human vision. The criterion for plausibility is provided by existing psychophysical results. A new theory of 3D shape perception is then outlined. According to this theory, human perception of shapes critically depends on a priori shape constraints: symmetry and compactness. The role of depth cues is secondary, at best.