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Proceedings Paper

Reconstruction of shapes of 3D symmetric objects by using planarity and compactness constraints
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Paper Abstract

We present a new algorithm for reconstructing 3D shapes. The algorithm takes one 2D image of a 3D shape and reconstructs the 3D shape by applying a priori constraints: symmetry, planarity and compactness. The shape is reconstructed without using information about the surfaces, such as shading, texture, binocular disparity or motion. Performance of the algorithm is illustrated on symmetric polyhedra, but the algorithm can be applied to a very wide range of shapes. Psychophysical plausibility of the algorithm is discussed.

Paper Details

Date Published: 29 January 2007
PDF: 10 pages
Proc. SPIE 6499, Vision Geometry XV, 64990B (29 January 2007); doi: 10.1117/12.713195
Show Author Affiliations
Yunfeng Li, Purdue Univ. (United States)
Zygmunt Pizlo, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 6499:
Vision Geometry XV
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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