GPGPU real-time texture analysis framework
Moulay A. Akhloufi, F. Gariepy, G. Champagne · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.