REU Site: Research Experience for Undergraduates in Computer Vision

REU 网站：计算机视觉本科生的研究经验

• 批准号: 2050731
• 负责人: Mubarak Shah
• 金额: $ 40.72万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050731&HistoricalAwards=false
• 关键词: REU; Site; Research; Experience; Undergraduates

This is a continuation of an Research Experience for Undergraduates (REU) site in Computer Vision which has operated at the University of Central Florida for the past thirty-three years. Each year, 10 students will participate in a 10-week duration, full-time Summer program. Participants will be trained in Computer Vision; in particular, they will learn fundamentals of computer vision, which plays an important role in many areas, including, security, healthcare, defense, and manufacturing. This project will provide opportunities to a diverse group of undergraduates, most from predominantly undergraduate institutions, to spend a summer with a highly successful research group. From lessons learned in recent years, the proposed model includes earlier project planning, round-the-clock mentoring by the research team, a streamlined 7-day short course that lets participants start their research projects sooner; and daily meetings with mentors to plan activities throughout the day. Participants take the short course, match themselves to a project topic that they most desire, and spend sufficient time in focused research. They then can opt to continue through the year by working with the professors to write research papers on their project, to prepare for the GREs and to apply to graduate programs. Recruits will be a diverse group of undergraduates, mostly from predominantly undergraduate institutions Our model for REU will be disseminated among other schools. This project includes development of new computer vision algorithms for solving scientific problems in video object segmentation, object detection, tracking, activity and event recognition, and visual reasoning. This involves both theory and practice; we are interested in mathematical modeling and analysis of difficult vision problems and developing algorithms, while at the same time building real systems for demonstrating those solutions in real life situations. This project will strengthen the following skills in participants ability to: write complex computer programs; communicate orally about research problem; think about computer vision issues in real life problems; read and understand key research papers; contribute to discussion of computer vision problem; and, to apply to graduate school.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这是计算机愿景中本科生（REU）网站的研究经验的延续，该网站在佛罗里达州中部大学经营了过去三十三年。每年，有10名学生将参加为期10周的全日制夏季计划。参与者将接受计算机视觉的培训；特别是，他们将学习计算机视觉的基础知识，在许多领域，包括安全，医疗保健，国防和制造业，都起着重要作用。该项目将为各种各样的本科生提供机会，大多数来自本科机构的大多数人，都可以在一个非常成功的研究小组中度过一个夏天。从近年来吸取教训的经验教训中，提出的模型包括较早的项目计划，研究团队全天候指导，这是一个简化的7天短课程，使参与者可以尽快开始他们的研究项目；以及与导师的日常会议，全天计划活动。参与者参加了简短的课程，将自己与他们最想要的项目主题相匹配，并花费足够的时间进行集中研究。然后，他们可以选择与教授一起撰写有关项目的研究论文，为GRES做准备并申请研究生课程，以选择继续一年。新兵将是一群多样化的本科生，主要来自主要是本科机构，我们的REU模型将在其他学校中传播。该项目包括开发新的计算机视觉算法，以解决视频对象分割，对象检测，跟踪，活动和事件识别以及视觉推理中的科学问题。这涉及理论和实践。我们对困难的视力问题和开发算法的数学建模和分析感兴趣，同时构建在现实生活中展示这些解决方案的真实系统。该项目将增强参与者能力的以下技能：编写复杂的计算机程序；关于研究问题的口头交流；考虑现实生活中的计算机视觉问题；阅读并理解关键的研究论文；有助于讨论计算机视觉问题；并且，申请研究生院。该奖项反映了NSF的法定任务，并被认为是使用基金会的知识分子优点和更广泛的影响评论标准的评估值得支持的。