CISE Research Resources: Instrumentation for Multidimensional Imaging and Applications

CISE 研究资源：多维成像仪器和应用

• 批准号: 0130839
• 负责人: Patrick Flynn
• 金额: --
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0130839&HistoricalAwards=false
• 关键词: CISE; Research; Resources; Instrumentation; Multidimensional

0130839 Patrick FlynnUniversity of Notre DameCISE Research Resources: Instrumentation for Multidimensional Imaging and ApplicationsThe award contributes to the purchase of (a) specialized sensors and actuators (range scanners, digital video facilities, 3D fabrication equipment), (b) high-performance computing equipment (a Beowulf cluster and high-performance workstations), and (c) infrastructure (including a network-attached disk array and networking hardware). The proposed equipment will support current and planned research in image processing and understanding. Research in planning and currently underway that will employ the facility includes image and video processing (range image compression techniques, image compression artifact mitigation, and high-resolution video from sensor fusion), image analysis and solid modeling (image segmentation, skeletonization, object representation, and applications in orthopedics and gait analysis), and empirical evaluation of image understanding algorithms (performance of low-level and high-level image understanding tasks as well as 3D modeling techniques). The planned facility will foster the continued development of a nascent image processing and understanding research group at the University of Notre Dame, and the research topics to be supported were carefully examined to validate their ability to take advantage of the proposed equipment acquisition.

0130839 Patrick Flynn 圣母大学 CISE 研究资源：多维成像和应用仪器该奖项有助于购买 (a) 专用传感器和执行器（范围扫描仪、数字视频设施、3D 制造设备），(b) 高性能计算设备（ Beowulf 集群和高性能工作站），以及 (c) 基础设施（包括网络连接磁盘阵列和网络硬件）。 拟议的设备将支持当前和计划中的图像处理和理解研究。 规划中和目前正在进行的研究将使用该设施，包括图像和视频处理（范围图像压缩技术、图像压缩伪影减轻和来自传感器融合的高分辨率视频）、图像分析和实体建模（图像分割、骨架化、对象表示） ，以及在骨科和步态分析中的应用），以及图像理解算法的实证评估（低级和高级图像理解任务的性能以及 3D 建模技术）。计划中的设施将促进圣母大学新生图像处理和理解研究小组的持续发展，并且将仔细审查要支持的研究主题，以验证他们利用拟议设备采购的能力。