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Proceedings Paper

3D-rigid motion invariant discrimination and classification of 3D-textures
Author(s): Sanat Upadhyay; Saurabh Jain; Manos Papadakis; Robert Azencott
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Paper Abstract

In this paper we implement a method for the 3D-rigid motion invariant texture discrimination and binary classification for discrete 3D-textures that are spatially homogeneous by modelling them as stationary Gaussian random fields. We use a novel 'distance' between 3D-textures that remains invariant under all 3D-rigid motions of the texture to develop rules for 3D-rigid motion invariant texture discrimination and binary classification of textures.

Paper Details

Date Published: 27 September 2011
PDF: 17 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 813821 (27 September 2011); doi: 10.1117/12.891721
Show Author Affiliations
Sanat Upadhyay, Univ. of Houston (United States)
Saurabh Jain, The Johns Hopkins Univ. (United States)
Manos Papadakis, Univ. of Houston (United States)
Robert Azencott, Univ. of Houston (United States)


Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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