25 January 2011 GPGPU real-time texture analysis framework
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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.
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M. A. Akhloufi, M. A. Akhloufi, F. Gariepy, F. Gariepy, G. Champagne, G. Champagne, } "GPGPU real-time texture analysis framework", Proc. SPIE 7872, Parallel Processing for Imaging Applications, 787208 (25 January 2011); doi: 10.1117/12.871082; https://doi.org/10.1117/12.871082
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