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Proceedings Paper

GPGPU real-time texture analysis framework
Author(s): M. A. Akhloufi; F. Gariepy; G. Champagne
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Paper Abstract

This work presents a framework for fast texture analysis in computer vision. The speedup is obtained using General- Purpose Processing on Graphics Processing Units (GPGPU technology). For this purpose, we have selected the following texture analysis techniques: LBP (Local Binary Patterns), LTP (Local Ternary Patterns), Laws texture kernels and Gabor filters. GPU optimizations are compared to CPU optimizations using MMX-SSE technologies and Multicore parallel programming. The experimental results show an important increase in the performance of the proposed algorithms when GPGPU is used particularly for large image sizes.

Paper Details

Date Published: 25 January 2011
PDF: 9 pages
Proc. SPIE 7872, Parallel Processing for Imaging Applications, 787208 (25 January 2011); doi: 10.1117/12.871082
Show Author Affiliations
M. A. Akhloufi, Ctr. de Robotique et de Vision Industrielles (Canada)
F. Gariepy, Ctr. de Robotique et de Vision Industrielles (Canada)
G. Champagne, Ctr. de Robotique et de Vision Industrielles (Canada)

Published in SPIE Proceedings Vol. 7872:
Parallel Processing for Imaging Applications
John D. Owens; I-Jong Lin; Yu-Jin Zhang; Giordano B. Beretta, Editor(s)

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