Example-based Inverse Rendering
基于示例的逆渲染
基本信息
- 批准号:EP/N028481/1
- 负责人:
- 金额:$ 1.64万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
"Rendering" is the computer graphics process of producing an image from a 3D model. Huge progress has been made on this problem over the past 50 years as evidenced by the photorealistic visual effects in Hollywood movies and highly engaging realtime graphics in video games. "Inverse rendering" is the much harder computer vision process of recovering shape and material properties of an object or scene from one or more images. Progress in this area has been much slower than for forward rendering and very few methods exist that are applicable to real world data. The exception is the estimation of 3D shape where techniques such as multiview stereo do allow accurate 3D models to be recovered from relatively uncontrolled imagery.However, it is the material properties of a surface that determine the way in which light is reflected and, hence, its appearance. Once these are known, it is possible to predict what an object will look like under any illumination condition - a so called "relightable" model. This dramatically expands the range of applications for which the model could be used. In the specific case of faces, relightable models find application in many areas including animation, gaming, forensic imaging, biometrics and visual effects.In this project, the PI will visit the world-leading Centre for Visual Computing at the University of California, San Diego to collaborate on an "example-based" approach to the problem of inverse rendering for faces. The idea is to use a database of faces for which the intrinsic reflectance properties have been measured. Given images of a face to inverse render, the approach will be to select patches from the database that are consistent with the observations (via a forward rendering process) and which are also locally consistent to ensure plausible face appearance.
“渲染”是从3D模型生成图像的计算机图形处理。在过去的50年里,这个问题已经取得了巨大的进展,好莱坞电影中逼真的视觉效果和视频游戏中高度吸引人的实时图形就是证明。“逆向渲染”是从一个或多个图像中恢复物体或场景的形状和材料属性的更困难的计算机视觉过程。在这方面的进展一直比前向渲染慢得多,很少有方法存在,适用于真实的世界数据。例外的是3D形状的估计,其中多视图立体等技术确实可以从相对不受控制的图像中恢复准确的3D模型。然而,正是表面的材料属性决定了光线反射的方式,从而决定了它的外观。一旦知道了这些,就有可能预测物体在任何照明条件下的外观--所谓的“可重定位”模型。这极大地扩展了该模型可以使用的应用范围。以人脸为例,可重配模型在动画、游戏、法医影像、生物统计学及视觉特效等多个领域均有应用。在是项计划中,首席研究员将参观位于圣地亚哥的加州大学的视觉计算中心,与该中心合作研究一种“以实例为基础”的方法,以解决人脸的逆向绘制问题。其想法是使用已测量固有反射特性的人脸数据库。给定要逆渲染的面部图像,该方法将是从数据库中选择与观察结果一致(通过正向渲染过程)并且也是局部一致的补丁,以确保可信的面部外观。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Linear Differential Constraints for Photo-Polarimetric Height Estimation
- DOI:10.1109/iccv.2017.250
- 发表时间:2017-07
- 期刊:
- 影响因子:0
- 作者:S. Tozza;W. Smith;Dizhong Zhu;R. Ramamoorthi;E. Hancock
- 通讯作者:S. Tozza;W. Smith;Dizhong Zhu;R. Ramamoorthi;E. Hancock
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William Smith其他文献
Bempedoic Acid: A New Avenue for the Treatment of Dyslipidemia
Bempedoic Acid:治疗血脂异常的新途径
- DOI:
10.1097/crd.0000000000000401 - 发表时间:
2021 - 期刊:
- 影响因子:2.1
- 作者:
William Smith;A. Cheng;J. Nawarskas - 通讯作者:
J. Nawarskas
Improving the performance of machine learning penicillin adverse drug reaction classification with synthetic data and transfer learning.
通过合成数据和迁移学习提高机器学习青霉素不良反应分类的性能。
- DOI:
10.1111/imj.16360 - 发表时间:
2024 - 期刊:
- 影响因子:2.1
- 作者:
Viera Stanekova;J. Inglis;Lydia Lam;Antoinette Lam;William Smith;S. Shakib;Stephen Bacchi - 通讯作者:
Stephen Bacchi
What Makes PACs Tick? An Analysis of the Allocation Patterns of Economic Interest Groups
是什么让 PAC 发挥作用?
- DOI:
10.2307/2110873 - 发表时间:
1984 - 期刊:
- 影响因子:4.2
- 作者:
J. D. Gopoian;Hobart Smith;William Smith - 通讯作者:
William Smith
The Effect of Mild to Moderate Renal Impairment on the Pharmacokinetics of the Nucleoside Analog Hepatitis C Virus Polymerase Inhibitor Mericitabine
轻至中度肾损伤对核苷类似物丙型肝炎病毒聚合酶抑制剂美西他滨药代动力学的影响
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
J. Haznedar;S. Moreira;T. Marbury;R. Robson;William Smith;Rohit N. Kulkarni;M. L. Munson;J. Thommes;A. Lemenuel;C. Washington;Patrick F. Smith;Ya - 通讯作者:
Ya
Management of Ischemic Heart Disease
缺血性心脏病的治疗
- DOI:
10.3109/9781420014099-4 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
William Smith - 通讯作者:
William Smith
William Smith的其他文献
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{{ truncateString('William Smith', 18)}}的其他基金
Workshop: Using Elevational Treelines to Predict Climate Change Effects on the Future Size and Distribution of Mountain Forests; University of Idaho, August 4-7, 2015
研讨会:利用高程林线预测气候变化对山地森林未来规模和分布的影响;
- 批准号:
1523307 - 财政年份:2015
- 资助金额:
$ 1.64万 - 项目类别:
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$ 1.64万 - 项目类别:
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Continuing Grant
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1128864 - 财政年份:2011
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Standard Grant
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通过先进的连接基础设施迈向数字社会研讨会
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1137176 - 财政年份:2011
- 资助金额:
$ 1.64万 - 项目类别:
Standard Grant
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1122092 - 财政年份:2011
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Cooperative Agreement
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$ 1.64万 - 项目类别:
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0741928 - 财政年份:2008
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$ 1.64万 - 项目类别:
Continuing Grant
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