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MRI: Acquisition of a Graphics Supercomputer for Synthetic Environment Serving Science and Engineering

MRI: Acquisition of a Graphics Supercomputer for Synthetic Environment Serving Science and Engineering
MRI:采购图形超级计算机,用于服务于科学与工程的合成环境
批准号:
9871222
负责人:
Henry Fuchs
金额:
$130.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-09-01 至 2001-08-31

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英文摘要
EIA-9871222 Fuchs, Henry Bishop, Gary University of North Carolina Chapel Hill MRI: Acquisition of a Graphics Supercomputer for Synthetic Environments Service Science and Engineering The proposed instrument is a state-of-the-art real-time graphics computer, a Silicon Graphics Reality Monster. This machine intimately combines eight high-performance graphics rendering pipelines with 32 conventional RISC processors. This instrument will accelerate research on real-time synthetic-environments applications in science and engineering. The principal projects set forth in this proposal are those for which both the exceptional graphics power and the intimately coupled high-performance computing power are crucial for enabling otherwise impossible research advances in the next three years. The projects include: rendering images of the world at nanometer scales as data come from atomic-force microscopes; augmented reality for applications such as giving the surgeon a view into the body using the images from inside the body, through a laparoscope; rendering massive models of complex man-made structures, such as ships and factories, for interactive walkthroughs to examine structures and make design decisions; rendering directly from multiple images of remote real-world scenes as well as from traditional geometric models; rapidly rendering to large, multi-megapixel displays either head-mounted or covering the walls; tracking outdoors for augmented reality.
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Collaborative Research: HCC: Medium: Deep Learning-Based Tracking of Eyes and Lens Shape from Purkinje Images for Holographic Augmented Reality Glasses
RI: Small: Uncovering Dynamics from Internet Imagery
FW-HTF: Collaborative Research: Enhancing Human Capabilities through Virtual Personal Embodied Assistants in Self-Contained Eyeglasses-Based Augmented Reality (AR) Systems
CHS: Small: Collaborative Research: 3D Audio Augmentation for Limited Field of View Augmented Reality Systems for Medical Training
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