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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.

Keywords

Retinal Image Human Visual System Perceptual Representation Binocular Disparity Shape Constancy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Zygmunt Pizlo
    • 1
  1. 1.Department of Psychological Sciences, Purdue University, West Lafayette, IN 47907-2081U.S.A.

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