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 Konradthis Thins在美国信息技术研究方面的三年合作奖涉及波士顿大学和尼斯大学索菲亚 - 安蒂波利斯大学。 美国的Janusz Konrad和William Karl和法国的Michel Barlaud带领调查人员和学生团队进行视频细分和地下感测的联合项目。 他们将开发新的变分方法，用于通过动态对象进行分割和重建场景的重建，并特别注意通过应用基于基础对象几何形状的基于轮廓的表示，对时间事件检测。 该方法基于调查人员以前在动态医学成像，视频细分和图像重建方面的工作。 美国研究人员以其运动估计算法，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方面的数学方法方面的专业知识得到了补充。 法国团队目前正在使用医疗数据进行申请。该奖项代表了NSF和法国国家科学研究中心（CNRS）的联合提案的美国。 NSF将为美国调查人员和研究生提供旅行资金和生活费用。 中枢神经系统将支持法国研究人员和美国的访问。 美国学生将从科学技术和国际研究团队的经验中受益。