CRI: CI-New: A Community Benchmarking Infrastructure for Birectional Reflectance Distribution Functions

CRI：CI-New：双向反射率分布函数的社区基准基础设施

• 批准号: 1823154
• 负责人: Pieter Peers
• 金额: $ 38.08万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823154&HistoricalAwards=false
• 关键词: CRI; CI; New; Community; Benchmarking

This project will support the development of a testbed application suite for evaluating material appearance models that describe how light is reflected from surfaces in computer graphics research. Photorealistic image synthesis in computer graphics requires accurate simulation of light transport through a virtual scene starting from the light sources, reflecting off surfaces (based on the material models), before ending at the camera. Hence, material models are a fundamental component in computer graphics systems. The testbed will consist of three integral components: (1) reference implementations of existing material models, (2) a library of material model parameters optimized to best mimic the appearance of real materials, as well as tools to compute new sets of parameters to mimic newly measured materials, and (3) online and offline analysis tools to aid researchers and practitioners to select appropriate models and to aid in the development of more accurate material models. A key feature of the testbed is that when people submit new material model implementations, or new strategies for mimicking real materials, or new tools for assessing the accuracy of models, the testbed will automatically evaluate them against all models and data in the testbed. This key feature is critical as there currently does not exist a good way for researchers to exhaustively compare their work against others, which slows down progress in both research and graphics applications; the testbed will make it much easier to compare new ideas to old ones, as well as to understand which models work best in which practical situations, making appearance modeling more portable and accessible to researchers and practitioners in and outside computer graphics. This testbed will advance research in areas related to computer graphics, as well as directly benefit society through supporting improved fidelity and visual realism in virtual reality applications, product pre-visualization, e-commerce, safety and training simulators, etc.The testbed will be in the form of a repository and a web interface. The repository will be populated by the lead investigator with an initial set of reference implementations of bidirectional reflectance distribution functions (BRDFs), BRDF fitting strategies, and quality assessment metrics. The research community will then be able to contribute new advances to each of these components to the repository. In addition, fitted BRDF parameters that mimic the reflectance behavior of physical materials for all BRDF models, computed with each of the different BRDF fitting strategies available in the code repository will be made publicly available, both on the repository as well as through the web interface. These fitted BRDF parameters will be dynamically updated when new algorithms or improvements are recorded in the repository. The web interface will allow experts and practitioners to explore the fitted BRDF parameters, corresponding visualization, and quality assessments to drive their research or product development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将支持开发测试床应用套件，用于评估材料外观模型，这些模型描述了计算机图形研究中如何反映光线的光线。计算机图形中的影像图像合成需要从光源开始的虚拟场景准确模拟光传输，从而在摄像机结束之前反射表面（基于材料模型）。因此，材料模型是计算机图形系统中的基本组件。 测试台将由三个积分组件组成：（1）现有材料模型的参考实现，（2）优化的材料模型参数库，以最佳模仿真实材料的外观，以及计算新的参数集以模拟新测量的材料集，以及（3）在线和离线分析工具，以帮助研究者和实践者进行适当的材料和实践模型，以辅助材料的开发和更高的材料。 测试台的一个关键特征是，当人们提交新的材料模型实现或模仿真实材料的新策略，或评估模型准确性的新工具时，测试台将自动对它们对测试台中的所有模型和数据进行评估。此关键功能至关重要，因为目前没有一个很好的方法使研究人员将其作品与他人进行比较，这减慢了研究和图形应用程序的进步。测试床将使将新想法与旧思想进行比较，并了解哪种模型最有效，在哪些情况下，在哪些情况下可以使外观建模更便于便携，并且可以在计算机图形上和外部的研究人员和从业人员中使用。 该测试床将通过支持改善虚拟现实应用程序，产品预审视，电子商务，安全性和培训模拟器等方面的改善忠诚度和视觉现实主义来推进与计算机图形有关的领域的研究，并直接使社会受益。测试台将以存储库和网络界面的形式进行。该存储库将由首席研究人员填充双向反射分布功能（BRDF），BRDF拟合策略和质量评估指标的初始参考实现。 然后，研究界将能够为这些组件中的每个组件贡献新的进步。此外，拟合的BRDF参数可以模仿所有BRDF模型的物理材料的反射率行为，这些材料使用代码存储库中每个不同的BRDF拟合策略计算出的所有BRDF模型都将在存储库以及Web界面上公开可用。当存储库中记录新算法或改进时，这些拟合的BRDF参数将动态更新。 Web界面将使专家和从业人员能够探索合适的BRDF参数，相应的可视化和质量评估，以推动其研究或产品开发。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。