CAREER: Scalable Rendering for Visual Realism in Scale-Complex Scenes
CAREER: Scalable Rendering for Visual Realism in Scale-Complex Scenes
批准号:
0644175
负责人:
Kavita Bala
金额:
$45.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-02-01 至 2013-01-31
中文摘要
职业生涯:在规模复杂的场景中实现视觉现实主义的可伸缩渲染PI:Kavita Balaa计算机图形学的基本挑战是创建准确描述现实世界复杂自然场景的交互式虚拟环境。这些虚拟环境对于广泛的应用至关重要,包括电子商务、教育、工业设计和建筑规划、游戏和电影、安全分析和虚拟培训以及文化遗产。逼真地模拟真实世界的视觉外观是非常具有挑战性的,因为感兴趣的场景具有复杂的几何图形、材质和照明,它们在广泛的物理尺度上相互作用,从毫米大小的表面凹凸到大型结构。我们称这样的场景为规模复杂的。当前的渲染方法对比例是盲目的,这使得在这种比例复杂的场景中逼真地模拟光线沿其反射和散射的复杂路径是不可行的。这个项目开发了一个新的框架,用于逼真地渲染规模复杂的场景的图像。重要的是,该框架支持丰富的光照现象和渲染效果,如间接光照、参与介质、次表面散射、运动模糊和景深。为了使所提出的框架具有可伸缩性,它必须在场景和模拟光照现象的日益复杂的情况下具有良好的性能。该项目探索了以下新方法:(A)统一处理所有照明现象和渲染效果;(B)新颖的多分辨率表示法,结合基于早期视觉和高级视觉的感知度量,以消除在视觉上不重要的计算;(C)根据需要精确计算照明细节的新方法,以及照明驱动的几何和材质简化;(D)用于交互性能的新的混合CPU/GPU算法。
英文摘要
CAREER: Scalable Rendering for Visual Realism in Scale-Complex ScenesPI: Kavita BalaA fundamental challenge in computer graphics is to create interactive virtual environments that accurately depict the complex natural scenes of the real world. These virtual environments are vital for a wide variety of applications, including e-commerce, education, industrial design and architectural planning, games and movies, safety analysis and virtual training, and cultural heritage. Realistically simulating the visual appearance of the real world is extremely challenging because scenes of interest have complex geometry, material, and lighting interacting across a wide range of physical scales, ranging from millimeter-sized surface bumps to large-scale structure. We call such scenes scale-complex. Current rendering methods are blind to scale, making it infeasible to realistically simulate the complex paths along which light reflects and scatters in such scale-complex scenes. This project develops a novel framework for realistically rendering images of scale-complex scenes. Importantly, the framework supports rich illumination phenomena and rendering effects such as indirect illumination, participating media, subsurface scattering, motion blur, and depth-of-field.For the proposed framework to be scalable, it must perform well even with growing complexity of the scene and of simulated illumination phenomena. This project explores the following new approaches: (a) a unified treatment of all illumination phenomena and rendering effects, (b) novel multiresolution representations coupled with perceptual metrics based on early vision and higher level vision to eliminate computation where it is not visually important, (c) new methods for accurately computing illumination detail as needed, with illumination-driven simplification of geometry and material, and (d) new hybrid CPU/GPU algorithms for interactive performance.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CHS: Medium: Collaborative Research: Physics and Learning Integration Using differentiable rendering
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批准号:1900783
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2019
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负责人:Kavita Bala
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依托单位:
CHS: Small: Data-Driven Material Understanding and Decomposition
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批准号:1617861
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项目类别:Continuing Grant
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资助金额:$49.42万
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财政年份:2016
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负责人:Kavita Bala
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依托单位:
CGV: Medium: Collaborative Research: Understanding Translucency: Physics, Perception, and Computation
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批准号:1161645
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项目类别:Continuing Grant
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资助金额:$39.83万
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财政年份:2012
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负责人:Kavita Bala
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依托单位:
CPA -G&V: Collaborative Research: Visual Equivalence: a New Foundation for Perceptually-Based Rendering of Complex Scenes
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批准号:0811680
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项目类别:Standard Grant
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资助金额:$27.5万
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财政年份:2008
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负责人:Kavita Bala
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依托单位:
Feature-based Rendering
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批准号:0539996
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项目类别:Standard Grant
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资助金额:$7.5万
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财政年份:2005
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负责人:Kavita Bala
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: