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.

这是一个研究经验的本科生（REU）在计算机视觉网站已在中央佛罗里达大学在过去的三十三年中运行的延续。每年，10名学生将参加为期10周的全日制暑期课程。参与者将接受计算机视觉培训;特别是，他们将学习计算机视觉的基础知识，这在许多领域发挥着重要作用，包括安全，医疗保健，国防和制造业。这个项目将提供机会，以本科生的多元化群体，大多数来自主要的本科院校，花一个夏天与一个非常成功的研究小组。根据近年来的经验教训，拟议的模式包括早期项目规划，研究团队的全天候指导，简化的7天短期课程，让参与者更快地开始他们的研究项目;每天与导师会面，计划全天的活动。参与者参加短期课程，将自己与他们最渴望的项目主题相匹配，并花足够的时间进行重点研究。然后，他们可以选择继续通过一年的工作与教授写研究论文对他们的项目，准备GRE和申请研究生课程。招聘将是一个多样化的本科生群体，主要来自以本科为主的院校。我们的REU模式将在其他学校传播。该项目包括开发新的计算机视觉算法，用于解决视频对象分割，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;我们感兴趣的是数学建模和困难的视觉问题的分析和开发算法，而在同一时间建立真实的系统，以证明这些解决方案在真实的生活情况。该项目将加强参与者的以下能力：编写复杂的计算机程序;口头交流研究问题;思考真实的生活问题中的计算机视觉问题;阅读和理解关键研究论文;促进计算机视觉问题的讨论;并且，在本发明中，申请研究生院。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用的支持，基金会的学术价值和更广泛的影响审查标准。