Beyond the Frame: Perceptually Based Rendering with Distributed Graphics Systems

超越框架：使用分布式图形系统进行基于感知的渲染

• 批准号: 0135943
• 负责人: David Luebke
• 金额: $ 5.27万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-15 至 2003-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0135943&HistoricalAwards=false
• 关键词: Beyond; Frame; Perceptually; Based; Rendering

0135943David LuebkeUniversity of VirginiaThe computer g aphics community increasingly recognizes the importance of understanding and leveraging the human pe ceptual system.Indeed,several researchers have proposed techniques to accelerate rendering by exploiting the limitations of human vision. However,this research has focused on realistic rendering algorithms such as ray and path tracing, which take seconds or minutes to render.Ve y little work has been done on perceptually d iven interactive rendering,whe e each image must be completed in milliseconds.Yet a dire need exists for techniques to accelerate interactive rendering of ever-la ger datasets,fo despitetremendous strides in graphics hardware,the growth in complexity of 3-D models appears to beoutstripping our ability to render them.One barrier to research on perceptually motivated interactive rendering acceleration methods has been the inflexibility of standard graphics hardware.The rendering pipeline, specialized and perfected over many yea s,is now extremely fast at a narrow set of rendering tasks,but researchers cannot tamper with the traditional polygon-rendering underpinnings. We propose to circumvent this barrier by using software rendering,distributed across a cluster to achieve interactive ates on complex scenes.This SGER focuses on building the equipment necessa y to analyze several perceptual rendering techniques impossible under the traditional polygon-oriented interactive rendering paradigm.

0135943David Luebke弗吉尼亚大学计算机图形学界越来越认识到理解和利用人类感知系统的重要性。事实上，一些研究人员已经提出了通过利用人类视觉的局限性来加速渲染的技术。 然而，这项研究主要集中在光线和路径追踪等现实渲染算法上，这些算法需要几秒钟或几分钟的时间来渲染。在感知驱动的交互式渲染方面做得很少，每个图像必须在毫秒内完成。然而，尽管图形方面取得了巨大的进步，但仍然迫切需要加速更大数据集的交互式渲染的技术。 随着硬件的发展，3D 模型复杂性的增长似乎超出了我们渲染它们的能力。对基于感知的交互式渲染加速方法进行研究的一个障碍是标准图形硬件的不灵活性。多年来经过专业化和完善的渲染管道，现在在一组狭窄的渲染任务中速度非常快，但研究人员无法篡改传统的多边形渲染基础。 我们建议通过使用分布在集群中的软件渲染来规避这一障碍，以实现复杂场景的交互。该 SGER 重点关注构建必要的设备来分析在传统的面向多边形的交互渲染范例下不可能实现的几种感知渲染技术。