SGER: Hyper-Resolution Rendering and Display
SGER:超分辨率渲染和显示
基本信息
- 批准号:0646095
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-09-01 至 2008-02-29
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In this proposal we briefly describe high-level image primitives and adaptive frameless sampling in moredetail, along with our preliminary results in each. We then lay out our research plans for investigatingthese two strategies for change-focused imagery in the context of our primary and secondary applicationareas: rendering, and display. In both areas our focus is on enabling technology for hyper-resolutionimagery, but we also argue that the other benefits listed above (more accurate, more portable, and moreflexible) will emerge from our efforts. Our goals are ambitious but grounded: we do not propose toactually build new rendering hardware and monitors, but instead to lay the necessary intellectualgroundwork. We also have active collaborations with partners in industry capable of taking these ideas topractice, including Microsoft Research, Intel, and Mitsubishi Electric Research Labs.Intellectual merit: This research will involve a fundamental rethinking of computer imagery, openingnew avenues of research in well-established fields such as image processing, computer vision, robotics,computer graphics, and image display. Furthermore, the gigapixel displays enabled by our hyperresolutionrendering has great potential as a tool in many other scientific fields. In human-computer interaction, many view such displays as the platform of the future, and our work will make research on this platform possible. Visualization researchers will also be able to study the obvious potential of gigapixel displays for improving understanding of complex data from a wide variety of fields.Broader impacts: Microsoft and Mitsubishi are convinced that large-scale and high resolution imagerywill be an important part of the consumer technology market. We agree and are targeting interactive,printer-resolution rendering and display in the home and office. We believe such technology couldtransform the business and personal imaging industries. Moreover, the bandwidth improvements for suchrendering might also be easily applied to mobile graphics on phones and PDAs. Our active researchrelationships with Microsoft, Mitsubishi and Intel will keep us grounded and ensure that our ideas havereal-world impact. Our proposed research will also have direct educational impact. We plan to develop acomputational photography course. We also have a strong history of educational collaborations, includingoutreach with museums as well as instruction with urban designers and architects. Hyper-resolutiondisplay, and the improved accuracy and scalability it promises, will benefit these efforts and enable newopportunities.
在这个建议中,我们简要介绍了高层次的图像图元和自适应无帧采样更详细,沿着我们的初步结果在每个。然后,我们制定了我们的研究计划,在我们的主要和次要应用领域的背景下,为这两个战略的变化为重点的图像:渲染和显示。在这两个领域,我们的重点是使技术能够实现超分辨率图像,但我们也认为,上述其他好处(更准确,更便携,更灵活)将从我们的努力中显现出来。我们的目标是雄心勃勃的,但也是有根据的:我们并不打算实际建造新的渲染硬件和显示器,而是要奠定必要的智力基础。我们还与能够将这些想法付诸实践的行业合作伙伴积极合作,包括微软研究院,英特尔和三菱电机研究实验室。智力价值:这项研究将涉及对计算机图像的根本性重新思考,在图像处理,计算机视觉,机器人技术,计算机图形学和图像显示等成熟领域开辟新的研究途径。此外,通过我们的超分辨率渲染实现的千兆像素显示器在许多其他科学领域具有巨大的潜力。在人机交互中,许多人将这种显示器视为未来的平台,我们的工作将使对该平台的研究成为可能。可视化研究人员还将能够研究千兆像素显示器在提高对来自各种领域的复杂数据的理解方面的明显潜力。更广泛的影响:微软和三菱确信,大规模和高分辨率图像将成为消费技术市场的重要组成部分。我们同意这一点,并将目标定位于家庭和办公室的交互式打印机分辨率渲染和显示。我们相信这种技术可以改变商业和个人成像行业。此外,这种渲染的带宽改进也可以很容易地应用于电话和PDA上的移动的图形。我们与微软、三菱和英特尔的积极研究关系将使我们脚踏实地,并确保我们的想法具有现实世界的影响力。我们提出的研究也将产生直接的教育影响。我们计划开发计算机摄影课程。我们也有很强的教育合作历史,包括与博物馆的外联以及与城市设计师和建筑师的指导。超分辨率显示器,以及它所承诺的改进的准确性和可扩展性,将有利于这些努力,并带来新的机会。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Benjamin Watson其他文献
Adaptive Frameless Rendering with NVIDIA OptiX
使用 NVIDIA OptiX 进行自适应无帧渲染
- DOI:
10.2312/egp.20191045 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Chung;Benjamin Watson - 通讯作者:
Benjamin Watson
Talk2Hand: Knowledge Board Interaction in Augmented Reality Easing Analysis with Machine Learning Assistants
Talk2Hand:增强现实缓和分析中的知识板与机器学习助手的交互
- DOI:
10.2312/eurova.20211090 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Yujie Hong;Benjamin Watson;K. Thompson;Davis Paul - 通讯作者:
Davis Paul
POEM: People-Oriented EMail for Social Connectedness
POEM:以人为本的社交电子邮件
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Maitreya Save;Benjamin Watson - 通讯作者:
Benjamin Watson
The Effects of Adaptive Synchronization on Performance and Experience in Gameplay
自适应同步对游戏性能和体验的影响
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Benjamin Watson;Ajinkya Gavane;Rachit Shrivastava - 通讯作者:
Rachit Shrivastava
Insecure behaviors on mobile devices under stress
压力下移动设备上的不安全行为
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Agnes Davis;Ashwin Shashidharan;Qianting Liu;W. Enck;A. McLaughlin;Benjamin Watson - 通讯作者:
Benjamin Watson
Benjamin Watson的其他文献
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{{ truncateString('Benjamin Watson', 18)}}的其他基金
CHS: Small: Adaptive rendering and display for emerging immersive experiences
CHS:小型:自适应渲染和显示,用于新兴的沉浸式体验
- 批准号:
2008590 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Standard Grant
I-Corps L: Recognize- an application to support visual learning
I-Corps L:识别 - 支持视觉学习的应用程序
- 批准号:
1547025 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Standard Grant
CAREER: Managing Complexity: Fidelity Control for Optimal Usability in 3D Graphics Systems
职业:管理复杂性:保真度控制以实现 3D 图形系统的最佳可用性
- 批准号:
0639426 - 财政年份:2006
- 资助金额:
-- - 项目类别:
Continuing Grant
REU Site: Design Tech - Sparking Research in Interactive Visual Design
REU 网站:设计技术 - 激发交互式视觉设计研究
- 批准号:
0552802 - 财政年份:2006
- 资助金额:
-- - 项目类别:
Continuing Grant
CAREER: Managing Complexity: Fidelity Control for Optimal Usability in 3D Graphics Systems
职业:管理复杂性:保真度控制以实现 3D 图形系统的最佳可用性
- 批准号:
0093172 - 财政年份:2001
- 资助金额:
-- - 项目类别:
Continuing Grant
CISE Research Resources: A Shared Data Cluster For Real Time Interaction With Massive Datasets
CISE 研究资源:与海量数据集实时交互的共享数据集群
- 批准号:
0130869 - 财政年份:2001
- 资助金额:
-- - 项目类别:
Standard Grant
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