论文标题
GPU上的实时高质量立体声匹配系统
Real-Time High-Quality Stereo Matching System on a GPU
论文作者
论文摘要
在本文中，我们提出了较低的错误率和GPU上的实时立体声视觉系统。迄今为止，已经提出了许多有关GPU的立体视觉系统。在这些系统中，错误率和处理速度处于权衡关系中。我们在GPU上为高分辨率图像提出了一个实时立体声视觉系统。与其他快速系统相比，该系统还保持较低的错误率。在我们的方法中，我们在GPU上实施了成本汇总（CA），交叉检查和中位过滤器，以实现实时处理。当最大差异为145时，其处理速度为1436x992像素图像为40 fps，并且其错误率是GPU系统中最低的速度，其最低速度比30 fps更快。
In this paper, we propose a low error rate and real-time stereo vision system on GPU. Many stereo vision systems on GPU have been proposed to date. In those systems, the error rates and the processing speed are in trade-off relationship. We propose a real-time stereo vision system on GPU for the high resolution images. This system also maintains a low error rate compared to other fast systems. In our approach, we have implemented the cost aggregation (CA), cross-checking and median filter on GPU in order to realize the real-time processing. Its processing speed is 40 fps for 1436x992 pixels images when the maximum disparity is 145, and its error rate is the lowest among the GPU systems which are faster than 30 fps.
