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

基本信息

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

项目摘要

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 Luebkeuniversity virginia the Computer G Aphics社区越来越认识到理解和利用人类PE摄制系统的重要性。实际上，一些研究人员提出了通过利用人类视力的局限性来加速渲染的技术。但是，这项研究集中于现实的渲染算法，例如射线和路径跟踪，这些算法需要几秒钟或几分钟才能渲染。存在迫切需要的技术来加速Ever-la Ger数据集的交互式渲染，在图形硬件中进行鄙视的迈向进步，3-D模型的复杂性的增长似乎使我们能够剥夺它们的能力。渲染加速度方法一直是标准图形硬件的僵化性。在许多Yea中，专业和完善的渲染管道现在在一系列狭窄的渲染任务下非常快，但是研究人员无法篡改传统的多边形渲染底漆。我们建议通过使用软件渲染来规避这种障碍，并分布在集群上，以在复杂场景上实现交互式ATE。此SGER着重于在传统的面向多边形的交互式渲染范式下构建一些不可能的知觉渲染技术，以分析几种不可能的感知渲染技术。