CISE Research Instrumentation: Massively Parallel Real Time Computer Vision

该奖项旨在为Maspar计算机购买一台多处理器主机以及实时高速图像捕获和显示硬件，以支持并行实时高速计算机视觉和可视化方面的研究。升级后的Maspar系统将使人们能够在以下领域进行研究：机器人的人工神经网络、从图像流中提取形状和运动的因式分解方法、道路和地形导航、相对论成像的可视化技术，以及立体视觉机器的开发。并行实时计算机视觉和可视化的研究在计算上是昂贵的，并且需要大规模并行计算能力和实时图像I/O支持。卡内基梅隆大学将升级他们的Maspar计算机，并增加实时图像采集硬件，以支持这些领域的研究项目。

This award is to purchase a multi-processor host machine for the Maspar computer and real-time high-speed, image capture and display hardware in order to support research in parallel real-time, high-speed computer vision and visualization. The upgraded Maspar system will enable research to be conducted in the areas of artificial neural networks for robotics, factorization methods for shape and motion from image streams, road and terrain navigation, visualization techniques for relativistic imaging, and the development of a stereo vision machine. Research in parallel real-time computer vision and visualization is computationally expensive and requires both massively parallel computational power and real-time image I/O support. Carnegie Mellon University will be upgrading their Maspar computer and adding real-time image acquisition hardware to support research projects in these areas.