CISE Research Infrastructure: A Networked Computing Environment for The Manipulation and Visualization of Geometric Data

CDA-9703080沃尔夫，劳伦斯·约翰霍普金斯大学几何数据操纵和可视化的网络计算环境这个奖项是为了表彰为约翰·霍普金斯大学计算机系的五个研究实验室(以及布朗大学的一名研究人员)提供统一环境的几何计算基础设施，这些实验室在兴趣上有很大的共同点。这一基础设施的主要用途如下：几何计算中心将开发一个通过因特网进行几何计算的交互界面，供参与的研究实验室使用，并供其他实验室使用；计算机图形学实验室将侧重于大型和复杂几何环境的交互可视化，其中还包括有效利用网络和分布式计算资源；计算机视觉实验室正在研究表面微分几何可视化的计算技术、用于自动目标识别的签名可视化和匹配以及用于医学成像的实时图像理解技术；计算机综合外科实验室将在医疗机器人方面开展若干项目，包括开发在神经外科和肺部手术中使用导航和导航的微创手术技术，以及使用各种2D成像方式的图像和模型配准技术。自然语言处理实验室将研究用于信息检索的高维空间中的文档空间可视化，以及高维单词和文档空间的集群算法。

CDA-9703080 Wolf, Lawrence Johns Hopkins University A Networked Computing Environment for the Manipulation and Visualization of Geometric Data This award is for the acquisition of an infrastructure for geometric computing providing a unified environment for five research laboratories in the Department of Computer Science at Johns Hopkins University (and one researcher at Brown University) having a large commonality in interests. This infrastructure will be used primarily as follows: The Center for Geometric Computation will be developing an interactive interface for geometric computation over the internet which will be used by the participating research laboratories and made available to other laboratories; the Computer Graphics Laboratory will focus on interactive visualization of large and complex geometric environments which also includes efficient utilization of network and distribute computing resources; the Computer Vision Laboratory is working on computational techniques for the visualization of the differential geometry of surfaces, visualizing and matching of signatures for Automatic Target Recognition, and real-time image understanding techniques for medical imaging; The Computer Integrated Surgery Laboratory will be conducting a number of projects in medical robotics including the development of techniques for minimally invasive surgery using navigation and guidance during neurosurgery and lung surgery, and, image and model registration techniques that use various 2D imaging modalities. The Natural Language Processing Laboratory will be studying document-space visualization in a high-dimensional space for information retrieval as well as clustering algorithms for high-dimensional word and document spaces.