GPU实现的信念传播，利用CUDA进行云跟踪和重建

2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008) Pub Date : 2008-12-01 DOI:10.1109/PRRS.2008.4783169

S. Grauer-Gray, C. Kambhamettu, K. Palaniappan

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引用次数: 54

摘要

本文描述了一种高效的基于cuda的信念传播算法的GPU实现，可以在不损失精度的情况下加速立体图像处理和运动跟踪计算。利用信念传播来分析飓风路易斯的实时云结构和跟踪的卫星图像的初步结果是有希望的，其速度几乎是五倍。

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GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

This paper describes an efficient CUDA-based GPU implementation of the belief propagation algorithm that can be used to speed up stereo image processing and motion tracking calculations without loss of accuracy. Preliminary results in using belief propagation to analyze satellite images of hurricane Luis for real-time cloud structure and tracking are promising with speed-ups of nearly a factor of five.

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2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)

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