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GPGPU real-time texture analysis framework

Moulay Akhloufi, Francis Gariepy and Gilles Champagne

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.

Bibtex:

@inproceedings{Akhloufi869,
author    = { Moulay Akhloufi and Francis Gariepy and Gilles Champagne },
title     = { GPGPU real-time texture analysis framework },
booktitle = { SPIE Electronic Imaging, Parallel Processing for Imaging Applications Conference },
pages     = { 7872-7 },
publisher = { SPIE },
address   = { San-Francisco, USA },
year      = { 2011 },
month     = { January },
keywords  = { Texture analysis, Features extraction, Graphics hardware, GPGPU, Multicore, Parallel processing. },
language  = { English }
}

Last modification: 2010/12/19 by akhloufi

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