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- W2005609748 abstract "This paper presents the design, implementation and evaluation of new parallelization schemes for performing dense disparity estimation based on non-parametric rank transform and semi-global matching on Graphics Processing Units (GPUs). A detailed analysis of the performance limitating factors (memory throughput, instruction throughput, etc.) for each part of the parallel implementation is performed. Thus, a highly optimized mapping for each parallelization scheme onto the resources of the GPU is obtained. The resulting implementation performs disparity estimation at 27 frames per second for 1024×768 pixel images with 128 disparity levels on a Nvidia Tesla C2050 GPU." @default.
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- W2005609748 date "2011-11-01" @default.
- W2005609748 modified "2023-10-18" @default.
- W2005609748 title "Real-time semi-global matching disparity estimation on the GPU" @default.
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- W2005609748 doi "https://doi.org/10.1109/iccvw.2011.6130286" @default.
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