REU Site: Research Experience for Undergraduates in Computer Vision

这是计算机视觉本科生研究体验(REU)网站的延续，该网站在过去33年里一直在中佛罗里达大学运营。每年，10名学生将参加为期10周的全日制暑期项目。学员将接受计算机视觉方面的培训，特别是学习计算机视觉的基础知识，计算机视觉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。这个项目将为不同的本科生群体提供机会，他们大多来自以本科生为主的机构，与一个非常成功的研究小组度过一个夏天。根据近年来的经验教训，拟议的模式包括更早的项目规划，研究团队的全天候指导，简化的7天短期课程，让参与者更早开始他们的研究项目，以及每天与导师会面，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，并花费足够的时间进行重点研究。然后，他们可以选择与教授合作，为他们的项目撰写研究论文，为GRE做准备，并申请研究生课程，从而继续学习一年。招募的学生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模式将在其他学校推广。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。这既涉及理论又涉及实践；我们对困难视觉问题的数学建模和分析以及开发算法感兴趣，同时构建在现实生活中演示这些解决方案的真实系统。这个项目将加强参与者的以下能力：编写复杂的计算机程序；就研究问题进行口头交流；思考现实生活中的计算机视觉问题；阅读和理解关键的研究论文；对计算机视觉问题的讨论做出贡献；以及申请研究生院。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.