US-France Cooperative Research: Segmentation and Reconstruction of Scenes with Dynamic Objects

美法合作研究：动态物体场景分割与重建

• 批准号: 0233318
• 负责人: Janusz Konrad
• 金额: $ 2.45万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-05-01 至 2006-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0233318&HistoricalAwards=false
• 关键词: US; France; Cooperative; Research; Segmentation

0233318KonradThis three-year award for U.S.-France collaboration in information technology research involves Boston University and the University of Nice at Sophia-Antipolis. Janusz Konrad and William Karl in the US and Michel Barlaud in France lead the team of investigators and students on a joint project in video segmentation and subsurface sensing. They will develop new variational methods for segmentation and reconstruction of scenes with dynamic objects, with particular attention to temporal event detection by applying contour-based representations of the underlying object geometry. The approach builds on the investigators' previous work in dynamic medical imaging, video segmentation, and image reconstruction. The US investigators are known for their computational expertise in motion estimation algorithms, motion based segmentation, and image reconstruction. This is complemented by French expertise in mathematical methods for image and video processing and coding. The French team is currently pursuing applications using medical data. This award represents the US side of a joint proposal to the NSF and the French National Center for Scientific Research (CNRS). NSF will cover travel funds and living expenses for the US investigators and graduate students. The CNRS will support the visits of the French researchers and to the United States. US students will benefit from the exchange of scientific techniques and experience with an international research team.

0233318康瑞德美国三年奖-法国在信息技术研究方面的合作涉及波士顿大学和尼斯大学索菲亚-安提波利斯分校。 美国的Janusz Konrad和William Karl以及法国的Michel Barlaud领导着一个由调查人员和学生组成的团队，共同开展视频分割和地下传感的联合项目。 他们将开发新的变分方法，用于动态对象的场景分割和重建，特别注意通过应用底层对象几何形状的基于轮廓的表示来进行时间事件检测。 该方法建立在研究人员以前在动态医学成像、视频分割和图像重建方面的工作基础上。 美国研究人员以其在运动估计算法、基于运动的分割和图像重建方面的计算专业知识而闻名。 法国在图像和视频处理和编码的数学方法方面的专门知识对此进行了补充。 法国团队目前正在研究使用医疗数据的应用程序。该奖项代表了美国方面向NSF和法国国家科学研究中心（CNRS）提出的联合建议。 NSF将为美国研究人员和研究生提供旅费和生活费。 CNRS将支持法国研究人员访问美国。 美国学生将受益于与国际研究团队的科学技术和经验交流。