Logo LVSN
EnglishAccueil
A proposPersonnesRecherchePublicationsEvenementsProfil
A propos
Publications

 

 

 

 

CERVIM

REPARTI

MIVIM

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 }
}

Dernière modification: 2010/12/19 par akhloufi

     
   
   

©2002-. Laboratoire de Vision et Systèmes Numériques. Tous droits réservés