CISE Research Instrumentation: Data-Driven Modeling for Real-Time Interaction and Animation
CISE Research Instrumentation: Data-Driven Modeling for Real-Time Interaction and Animation
批准号:
0242482
负责人:
Jessica Hodgins
金额:
$4.84万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2003-01-31
中文摘要
9818287哈金斯,杰西卡K.Atkeson,克里斯托弗G.格鲁吉亚理工学院CISE研究仪器:数据驱动的实时交互和动画建模该研究仪器使研究项目:- 动作的感知-从演示中学习-用实验确定的参数进行动画制作,以及-建模面部表情为了支持上述项目,对于人体运动的捕捉,建模,识别和生成,该奖项有助于购买运动捕捉设备,图形工作站,在格鲁吉亚理工学院的计算机学院学习电脑和数码相机。 该设备将用于几个项目,旨在使其易于创建,控制,并在交互式环境中与人工人进行交互,以进行培训和娱乐。 摄像机和动作捕捉设备将捕捉用户的全身和面部动作。 图形工作站和其他可用的多处理器的处理能力将用于创建数据驱动模型,用于识别和生成人类动作,从网球挥杆等全身运动到微妙的面部表情。 这种技术的力量将通过构建交互式环境来展示,在该环境中,摄像机和运动捕捉设备将用于在线识别用户动作,图形工作站将用于根据离线导出的模型来实时制作人体动画。 原型应用程序将是交互性和真实性是关键的环境,例如物理任务的训练环境和高度交互性和响应性角色的动画。
英文摘要
9818287Hodgins, Jessica K.Atkeson, Christopher G.Georgia Institute of TechnologyCISE Research Instrumentation: Data-Driven Modeling for Real-time Interaction and AnimationThis research instrumentation enables research projects in:- Perception of Action- Learning from Demonstration- Animating with Experimentally Determined Parameters, and- Modeling Facial ExpressionsTo support the aforementioned projects, for the capture, modeling, recognition, and generation of human motion, this award contributes to the purchase of motion capture equipment, graphics workstations, and digital cameras at College of Computing in Georgia Institute of Technology. The equipment will be used for several projects aimed at making it easy to create, control, and interact with artificial humans in interactiveenvironments for training and entertainment. The cameras and motion capture equipment will capture full body and facial motion of the users. The processing power of the graphics workstations and other availablemulti-processors will be used to create data-driven models for recognition and generation of human actions ranging from full body motions such as a tennis swing to subtle facial expressions. The power of this technology will be demonstrated by constructing interactive environments in which the cameras and motion capture equipment will be used for on-line recognition of user actions and the graphics workstation will be used to animate human figures in real-time, based on the models derived off-line. The prototype applications will be environments where interactivity and realism are key, such as training environments for physical tasks and animation of highly interactive and responsive characters.
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依托单位:
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国内基金
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