CGV: Medium: Collaborative Research: Understanding Translucency: Physics, Perception, and Computation
CGV:媒介:协作研究:理解半透明性:物理、感知和计算
基本信息
- 批准号:1161645
- 负责人:
- 金额:$ 39.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-01 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
People care greatly about the appearance of translucent materials such as food, skin, soap, and marble, and they are able to distinguish subtle differences in these materials based on their appearance. The translucent appearance of these materials is caused by internal volumetric scattering, which is challenging to simulate, especially because humans are so sensitive to their subtleties. Since in the natural world scattering materials are the norm, not the exception, it makes sense that the human visual system is so well engineered to analyze them. However, very little is known about how this analysis is achieved because the perception of volumetric translucency is almost unstudied.This collaborative project, involving faculty from three universities with complementary expertise in computer graphics, human vision, machine learning, and computer vision, addresses the fundamental unsolved problem of understanding translucency for graphics. The PIs will develop a perceptually-motivated pipeline for translucency, contributing new scattering representations, perceptual dimensions, and computational algorithms to computer graphics. The scattering representations, based on a polydispersion model, will provide analytic expressions for wavelength-dependent bulk scattering properties of translucent media; this will significantly expand the range of materials that can be simulated with high visual fidelity. Finding perceptual knobs that relate physical scattering parameters with visual appearance will be achieved by coupling large-scale computation (using cloud computing) with controlled perceptual studies. Novel acquisition approaches that employ hyperspectral imaging will be created, as will editing and rendering applications that use the new perceptual representations of translucency. Low-dimensional models to represent scattering media will be developed and used to enable efficient and accurate acquisition and rendering. A suite of test materials and scenes will be developed to evaluate the fidelity of rendered images based on the developed theory and computational applications.Broader Impacts: Currently, the simulation of translucency presents challenges in terms of both computation and visual fidelity. This restricts the ability of practical algorithms to predictively simulate translucent materials, thus fundamentally limiting the use of graphics in real applications. By building the computational tools to characterize, study, and use knowledge of translucency perception, this research will fundamentally change the graphics pipeline for translucent materials. and will potentially revolutionizing industrial design, interior design, skin care and cosmetics, and entertainment.The project includes an education program that is tightly coupled to the research program. The PIs have already been meeting twice a week for more than six months, and their graduate students already share data, code, and equipment. During the activity, the students will make week-long and month-long visits to each other's laboratories to collaborate, and in this way the project will produce a generation of researchers who are "T-shaped" in the sense of being both deep in their respective fields and able to work effectively across these synergistic disciplines. The PIs also plan to organize a workshop that will brins together researchers in vision science, computer graphics, and computer vision, so that the important ties between these fields are strengthened even further.
人们非常关心半透明材料的外观,如食物、皮肤、肥皂和大理石,他们能够根据外观区分这些材料中的细微差别。这些材料的半透明外观是由内部体积散射引起的,这一点很难模拟,特别是因为人类对它们的细微之处非常敏感。由于在自然界中,散布的物质是正常的,而不是例外的,所以人类的视觉系统被精心设计来分析它们是合理的。然而,对这种分析是如何实现的知之甚少,因为对体积半透明的感知几乎没有研究。这个合作项目涉及来自三所大学的教师,他们在计算机图形学、人类视觉、机器学习和计算机视觉方面具有互补的专业知识,解决了理解图形半透明度的基本问题。PI将开发一条以感知为动力的半透明管道,为计算机图形学贡献新的散射表示、感知维度和计算算法。基于多色散模型的散射表示将提供半透明介质随波长变化的总体散射特性的解析表达式;这将显著扩展可用高视觉保真度模拟的材料的范围。通过将大规模计算(使用云计算)与受控感知研究相结合,将找到将物理散射参数与视觉外观联系起来的感知旋钮。将创建使用高光谱成像的新的获取方法,以及使用新的半透明感知表示的编辑和渲染应用程序。将开发表示散射介质的低维模型,并使用该模型来实现高效和准确的采集和渲染。基于发展的理论和计算应用,将开发一套测试材料和场景来评估渲染图像的保真度。布罗德影响:目前,半透明的模拟在计算和视觉保真度方面都存在挑战。这限制了实用算法预测模拟半透明材质的能力,从而从根本上限制了图形在实际应用中的使用。通过建立描述、研究和使用半透明感知知识的计算工具,这项研究将从根本上改变半透明材料的图形管道。可能会给工业设计、室内设计、护肤和化妆品以及娱乐带来革命性的变化。该项目包括一个与研究项目紧密结合的教育项目。在六个多月的时间里,PI已经每周开会两次,他们的研究生已经共享数据、代码和设备。在活动期间,学生们将对彼此的实验室进行为期一周和一个月的访问以进行合作,这样,该项目将培养出一代研究人员,他们在各自的领域都很深入,并且能够在这些协同学科之间有效地工作。PIS还计划组织一次研讨会,将视觉科学、计算机图形学和计算机视觉领域的研究人员聚集在一起,以便进一步加强这些领域之间的重要联系。
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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Kavita Bala其他文献
Diffusion Formulation for Heterogeneous Subsurface Scattering
非均匀次表面散射的扩散公式
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
A. Arbree;B. Walter;Kavita Bala - 通讯作者:
Kavita Bala
Detail synthesis for image-based texturing
基于图像的纹理的细节合成
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:0
- 作者:
Ryan M. Ismert;Kavita Bala;D. Greenberg - 通讯作者:
D. Greenberg
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
连续域泛化的激活回归及其在作物分类中的应用
- DOI:
10.48550/arxiv.2204.07030 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Samarth Khanna;Bram Wallace;Kavita Bala;B. Hariharan - 通讯作者:
B. Hariharan
Radiance interpolants for interactive scene editing and ray tracing
用于交互式场景编辑和光线追踪的辐射插值
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Kavita Bala - 通讯作者:
Kavita Bala
Effects of global illumination approximations on material appearance
全局照明近似对材质外观的影响
- DOI:
10.1145/1833349.1778849 - 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Jaroslav Křivánek;J. Ferwerda;Kavita Bala - 通讯作者:
Kavita Bala
Kavita Bala的其他文献
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{{ truncateString('Kavita Bala', 18)}}的其他基金
CHS: Medium: Collaborative Research: Physics and Learning Integration Using differentiable rendering
CHS:媒介:协作研究:使用可微渲染的物理和学习集成
- 批准号:
1900783 - 财政年份:2019
- 资助金额:
$ 39.83万 - 项目类别:
Continuing Grant
CHS: Small: Data-Driven Material Understanding and Decomposition
CHS:小:数据驱动的材料理解和分解
- 批准号:
1617861 - 财政年份:2016
- 资助金额:
$ 39.83万 - 项目类别:
Continuing Grant
CPA -G&V: Collaborative Research: Visual Equivalence: a New Foundation for Perceptually-Based Rendering of Complex Scenes
CPA-G
- 批准号:
0811680 - 财政年份:2008
- 资助金额:
$ 39.83万 - 项目类别:
Standard Grant
CAREER: Scalable Rendering for Visual Realism in Scale-Complex Scenes
职业:在规模复杂的场景中实现视觉真实感的可扩展渲染
- 批准号:
0644175 - 财政年份:2007
- 资助金额:
$ 39.83万 - 项目类别:
Continuing Grant
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