CPA-G&V: Physically Valid Simulation of Active Human Motion
CPA-G
基本信息
- 批准号:0810888
- 负责人:
- 金额:$ 27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract (Jovan Popovic, MIT)Interactive computer-graphics simulations offer a proven method for learning complex relationships and procedures. Airplane simulators, for example, tutor pilots through sophisticated tasks until all procedures are performed safely and efficiently. Of particular importance to these applications are simulations that are consistent with the real world. In medicine, for example, physicians can master fine motor skills within physiologically consistent simulations without endangering the lives of patients. However, the simulations in use today can only emulate reactive physical systems. Broader application of computer simulation in medicine, engineering, art, and entertainment requires simulation of active systems such as robotic devices, humans, and animals that act as well as react within physically simulated environments. A study of simulations for vehicle and workspace design, for example, has revealed a pervasive need for digital human models that can accomplish tasks within physically simulated environments. Computer graphics today often simulates humans as lifeless mechanical structures (rag dolls) that do no more than crumple to the ground. Or it relies on motion-capture techniques (motion graphs) that generate physically inconsistent motions whenever simulations depart from a few motion-captured scenarios. In contrast, physically based simulation generates consistent motions, but the motions are often unnatural and difficult to create. This study applies the mathematics of modern control theory to establish a more rigorous foundation for control of such motions in interactive computer simulations. It simulates natural motions by stabilizing high-quality motion-capture data, transforming individual motion into a more general action that can be applied in many different circumstances. A single action may describe short tasks such as stepping, turning, walking, and jumping. More complex behaviors are assembled through composition, by concatenating one action after another.
摘要(麻省理工学院波波维奇)交互式计算机图形模拟为学习复杂的关系和程序提供了一种行之有效的方法。例如,飞机模拟器指导飞行员完成复杂的任务,直到所有程序安全有效地执行。对这些应用特别重要的是与真实世界一致的模拟。例如,在医学领域,医生可以在生理上一致的模拟中掌握运动技能,而不会危及患者的生命。然而,目前使用的模拟只能模拟反应性物理系统。计算机模拟在医学、工程、艺术和娱乐中的更广泛应用需要模拟活动系统,例如在物理模拟环境中行为和反应的机器人设备、人类和动物。例如,一项针对车辆和工作空间设计的模拟研究表明,人们普遍需要能够在物理模拟环境中完成任务的数字人体模型。今天的计算机图形学经常把人类模拟成没有生命的机械结构(破布娃娃),只不过是坍塌在地上。或者,它依赖于运动捕捉技术(运动图),只要模拟偏离了几个运动捕捉场景,就会生成物理上不一致的运动。相比之下,基于物理的模拟会生成一致的运动,但运动通常不自然,很难创建。本研究应用现代控制理论的数学原理,为在交互式计算机模拟中控制此类运动奠定了更严密的基础。它通过稳定高质量的运动捕捉数据来模拟自然运动,将单个运动转换为可以在许多不同环境中应用的更一般的动作。一个动作可以描述一些短小的任务,如踏步、转身、行走和跳跃。更复杂的行为通过组合来组装,通过连接一个动作接一个动作。
项目成果
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Jovan Popovic其他文献
Interactive animation of dynamic manipulation
动态操控的交互动画
- DOI:
10.2312/sca/sca06/195-203 - 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Yeuhi Abe;Jovan Popovic - 通讯作者:
Jovan Popovic
Cubic spline functions and polynomials for calculation of absorption rate
用于计算吸收率的三次样条函数和多项式
- DOI:
10.1007/bf03189997 - 发表时间:
1998 - 期刊:
- 影响因子:1.9
- 作者:
Jovan Popovic - 通讯作者:
Jovan Popovic
Analysis of task effort estimation accuracy based on use case point size
基于用例点大小的任务工作量估计准确性分析
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:1.6
- 作者:
Jovan Popovic;D. Bojic;Nenad Korolija - 通讯作者:
Nenad Korolija
Garment3DGen: 3D Garment Stylization and Texture Generation
Garment3DGen:3D 服装风格化和纹理生成
- DOI:
10.48550/arxiv.2403.18816 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
N. Sarafianos;Tuur Stuyck;Xiaoyu Xiang;Yilei Li;Jovan Popovic;Rakesh Ranjan - 通讯作者:
Rakesh Ranjan
Cholesterol crystals in synovial and bursal fluid.
滑液和法氏囊液中的胆固醇晶体。
- DOI:
- 发表时间:
1993 - 期刊:
- 影响因子:5
- 作者:
M. B. Lazarevic;J. Skosey;Jelena Vitic;V. Mladenovic;Barry L. Myones;Jovan Popovic;William I. Swedler - 通讯作者:
William I. Swedler
Jovan Popovic的其他文献
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{{ truncateString('Jovan Popovic', 18)}}的其他基金
Acquisition and Modeling of Non-Rigid Shape and Deformation
非刚性形状和变形的采集和建模
- 批准号:
0541227 - 财政年份:2006
- 资助金额:
$ 27万 - 项目类别:
Standard Grant