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

Yunfeng Li; Zygmunt Pizlo

doi:10.1117/12.713195

29 January 2007 Reconstruction of shapes of 3D symmetric objects by using planarity and compactness constraints

Yunfeng Li, Zygmunt Pizlo

Proceedings Volume 6499, Vision Geometry XV; 64990B (2007) https://doi.org/10.1117/12.713195
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Yunfeng Li and Zygmunt Pizlo "Reconstruction of shapes of 3D symmetric objects by using planarity and compactness constraints", Proc. SPIE 6499, Vision Geometry XV, 64990B (29 January 2007); https://doi.org/10.1117/12.713195

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