Proceedings Paper
3D-rigid motion invariant discrimination and classification of 3D-textures| Format | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)
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)
Saurabh Jain, The Johns Hopkins Univ. (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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