Shear invariant 3D model retrieval

Sagar Naik; B. Prabhakaran

doi:10.1117/12.708708

29 January 2007 Shear invariant 3D model retrieval

Sagar Naik, B. Prabhakaran

Proceedings Volume 6499, Vision Geometry XV; 64990A (2007) https://doi.org/10.1117/12.708708
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Sagar Naik and B. Prabhakaran "Shear invariant 3D model retrieval", Proc. SPIE 6499, Vision Geometry XV, 64990A (29 January 2007); https://doi.org/10.1117/12.708708

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