MRI: Development of Infrastructure for Research in Multi-View Video, Graphics, Visualization and Immersive Virtual Environment Systems

MRI：多视图视频、图形、可视化和沉浸式虚拟环境系统研究基础设施的开发

• 批准号: 1229297
• 负责人: Saeid Nooshabadi
• 金额: $ 30万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229297&HistoricalAwards=false
• 关键词: MRI; Development; Infrastructure; Research; Multi

Proposal #: 12-29297PI(s): Nooshabadi, Saeid Kuhl, Scott; Wang, ChaoliInstitution: Michigan Technological UniversityTitle: MRI/Dev: Infrastructure for Research in Multi-view Video, Graphics, Visualization and Immersive Virtual Environment SystemsProject Proposed:This project, developing an instrument consisting of a large-scale tiled display, multiple video capture cameras, and a high-performance GPU cluster for large-scale data analysis and visualization, and multi-view coding and rendering, aims to enable a significant amount of research where graphics, vision, and multi-view video converge (including image-based modeling and rendering (IBMR) and MPEG-4/7). The instrument additionally includes augmentation of traditional interfaces that support research in 3D merger of graphics and video-coding, augmented reality and human perception research. It will also be used a to further advance the development of novel algorithms and techniques for large-scale data analysis and visualization, immersive virtual environments and image coding, as well as their on-going collaborations with scientists and researchers at national laboratories and industry. As evidenced by the availability of very large flat-panel displays and basic tracking systems such as Xbox Kinect, these types of coders, displays, and tracking systems should become more mature and affordable in the future. Broader Impacts: The proposed instrument can greatly impact the areas of telemedicine, manufacturing, and robotics. It can also be used for classes on computer graphics, virtual environments, data visualization, multi-media, and computer gaming. The PIs propose to organize summer programs to attract high-school students into science and STEM related areas.

提案编号：12- 29297 PI（s）：Nooshabadi，Saeid Kuhl，Scott; Wang，Chaoli机构：密歇根理工大学标题：MRI/Dev：多视图视频、图形、可视化和沉浸式虚拟环境系统研究基础设施项目建议：该项目开发了一种由大规模平铺显示器，多个视频捕获相机和高性能GPU集群组成的仪器，用于大规模数据分析和可视化以及多视图编码和渲染，旨在实现大量的研究，其中图形，视觉和多视图视频融合（包括基于图像的建模和渲染（IBMR）和MPEG-4/7）。该仪器还包括传统界面的增强，支持图形和视频编码的3D合并研究，增强现实和人类感知研究。它还将用于进一步推进大规模数据分析和可视化，沉浸式虚拟环境和图像编码的新算法和技术的开发，以及他们与国家实验室和行业的科学家和研究人员的持续合作。正如超大型平板显示器和基本跟踪系统（如Xbox Kinect）的可用性所证明的那样，这些类型的编码器，显示器和跟踪系统在未来应该变得更加成熟和负担得起。更广泛的影响：拟议的仪器可以极大地影响远程医疗，制造和机器人领域。它还可以用于计算机图形学，虚拟环境，数据可视化，多媒体和计算机游戏等课程。PI建议组织暑期课程，以吸引高中生进入科学和STEM相关领域。

项目成果

Structure-Aware Linear Solver for Realtime Convex Optimization for Embedded Systems

用于嵌入式系统实时凸优化的结构感知线性求解器

• DOI: 10.1109/les.2017.2700401
• 发表时间: 2017
• 期刊: IEEE Embedded Systems Letters
• 影响因子: 1.6
• 作者: Yamazaki, Ichitaro;Nooshabadi, Saeid;Tomov, Stanimire;Dongarra, Jack
• 通讯作者: Dongarra, Jack

Visualization Laboratory at University of Notre Dame

• DOI: 10.1016/j.visinf.2020.09.001
• 发表时间: 2020-09
• 期刊: Vis. Informatics
• 作者: Chaoli Wang