Non-Commutative Harmonic Analysis in Object Recognition and Tracking

目标识别和跟踪中的非交换谐波分析

• 批准号: 0308864
• 负责人: Robert Boyer
• 金额: $ 9.96万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0308864&HistoricalAwards=false
• 关键词: Non; Commutative; Harmonic; Analysis; Object

The principal investigator, a professor of mathematics, will visit the Department of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania to initate a collaborative research program in computer vision emphasizing omnidirectional sensors, which are visual sensors with unusually large fields of view. These new sensors have numerous applications in surveillance, navigation, and communications, yet they have raised a host of complex new mathematical questions because they are not accurately modelled with the conventional methods of computer vision and image processing. Remarkably, the relevant mathematics is the representation theory of non-compact Liegroups, non-commutative harmonic analysis, and the associated algorithms.To make a contribution to this field, it is essential for the principal investigator to be immersed in a laboratory active in vision research where inevitable technological advances in performance and equipment cause continuous change in the requirements and complexity of the models. The PI will investigate applications of noncommutative harmonic analysis on Lie groups and their homogeneous spaces to two of the major problems in computer vision: object recognition and tracking. The noncommutative Fourier transform will be especially helpful for these problems as well as in discovering analytical invariants for images needed for template matching. After the PI's leave at Penn, he intends to establish an image science group at Drexel that includessa colleagues who are experts in mirror design and differential geometry. This group will develop courses and seminars fostering cross-fertilization among students and faculty from computer science and electrical and computer engineering departments in the College of Engineering. With the close physical proximity of Penn with Drexel, the PI expects the collaborations initiated during his leave will continue with joint seminars, joint research students, and research projects.This IGMS project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).

首席研究人员是一名数学教授，他将访问宾夕法尼亚大学工程与应用科学学院的计算机与信息科学系，发起一个计算机视觉领域的合作研究项目，重点是全方位传感器，这是一种具有异常大视野的视觉传感器。这些新型传感器在监视、导航和通信中有许多应用，但它们提出了一系列复杂的新数学问题，因为它们不能用计算机视觉和图像处理的传统方法进行准确建模。值得注意的是，相关的数学是非紧李群的表示理论，非对易调和分析，以及相关的算法。为了对这一领域做出贡献，首席研究人员必须沉浸在活跃在视觉研究中的实验室中，在那里，性能和设备的不可避免的技术进步导致模型的要求和复杂性不断变化。PI将研究李群及其齐次空间上的非对易调和分析在计算机视觉中的两个主要问题上的应用：目标识别和跟踪。非对易傅立叶变换将特别有助于解决这些问题，以及发现模板匹配所需图像的解析不变量。在PI离开宾夕法尼亚大学后，他打算在Drexel建立一个图像科学小组，成员包括镜子设计和微分几何方面的专家。这个小组将开发课程和研讨会，促进工程学院计算机科学、电气和计算机工程系的学生和教职员工之间的相互促进。由于宾夕法尼亚大学与德雷克塞尔的距离很近，PI预计在他休假期间启动的合作将继续通过联合研讨会、联合研究学生和研究项目进行。这个IGMS项目由国会议员多学科活动办公室(OMA)和数学科学部(DMS)联合支持。