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Proceedings Paper

Shear invariant 3D model retrieval
Author(s): Sagar Naik; B. Prabhakaran
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Paper Abstract

The increase in affordable computing power has fostered the creation of 3D models. The field of 3D models is on the rise with the advent of high speed Internet. Large repositories of 3D models are being created and made public on the Internet. Searching among these repositories is an obvious requirement. In this paper, we present a total shear invariant feature vector (SIFV) for searching a 3D model. This feature vector is robust to affine transformations of the original model. The proposed feature vector is Fourier transform of the histogram of the number of points in the concentric spheres partitioning the point cloud data of a 3D model.

Paper Details

Date Published: 29 January 2007
PDF: 5 pages
Proc. SPIE 6499, Vision Geometry XV, 64990A (29 January 2007); doi: 10.1117/12.708708
Show Author Affiliations
Sagar Naik, Univ. of Texas at Dallas (United States)
B. Prabhakaran, Univ. of Texas at Dallas (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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