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REU Site: Research on Computer Vision and Multi-Agent Systems

REU Site: Research on Computer Vision and Multi-Agent Systems
REU 站点:计算机视觉和多智能体系统研究
批准号:
0850825
负责人:
Xiaojun Qi
金额:
$30.58万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-05-15 至 2013-04-30

项目摘要

项目成果

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中文摘要
翻译
该项目将为十名本科生提供一个机会,参与美国州立大学CS系正在进行的CVMA(计算机视觉和多代理)研究活动。REU的学生将在头一周半的时间里接受关于CVMA的正式指导和每个项目的介绍。然后,他们将直接与教师导师合作,生成用于测试假设和新技术的计算机程序,并演示具体想法的可行性。学生还将参加每周一次的个人会议,每两周轮流举行的REU小组会议和棕袋研究小组会议,以及社会活动。他们被要求在三个阶段完成三次口头报告和写作任务,以提高对任何学科的专业人员至关重要的沟通技能。我们的目标是为本科生提供机会学习研究过程,吸收最新研究,评估他们自己的研究,展示他们自己的工作和实验结果,准备出版物,并为进入研究生院做准备。该网站将确保至少四名参与者是代表不足的学生,至少六名参与者来自其他机构,特别是研究项目有限的本科院校。智力优势:该项目将建立一个“现实世界”的工作环境,帮助本科生培养独立思考的能力、探索多种方法的意愿、面对障碍的韧性,以及学习最先进技术知识的背景。将确定多个项目,以支持和扩大当前的研究工作。这些研究项目包括基于语义的CBIR(基于内容的图像检索)、图像取证和认证、火灾和火焰检测、具有代理领导的联盟组织、机器人系统的信任和协作网络监控。拟议的工作将通过实践刺激研究项目来解决CVMA的广泛范围和具有挑战性的问题。有些项目是为才华横溢的学生设计的,旨在通过解决未解决的问题来增进知识和理解。其他人则寻求使用CVMA技术来解决现实世界的问题。鼓励学生主动学习、自由开放的思想交流、团队合作精神,以及对成就的认可和奖励。更广泛的影响:该计划将通过培养下一代研究人员来影响CS的学科和我国的竞争力。该计划将通过促进个人参与者独立思考和解决问题的技能的发展来影响他们。该计划对主要来自本科院校的学生和代表性不足群体的成员的关注将进一步加强这些影响。最后,这项研究本身有可能产生积极的社会影响,因为它专注于现实世界的应用。及早参与研究活动将大大加深学生的学习过程,显著提升他们的研究经验,迅速发展他们在CVMA相关研究方面的技能,积极促进他们的研究兴趣,并有效激发他们攻读更高学位的愿望。
英文摘要
This project will provide an opportunity for ten undergraduate students to participate in the ongoing CVMA (Computer Vision and Multi-Agent) research activities in the CS department at USU. The REU students will receive formal instruction on CVMA and an introduction to each project during the first week and a half. They will then directly work with the faculty mentor to generate computer programs for testing hypotheses and new techniques, and to demonstrate the feasibility of the specific ideas. Students will also participate in weekly individual meetings, alternated bi-weekly REU group meetings and brown- bag research group meetings, and social events. They are required to accomplish three oral presentations and writing tasks at three stages to improve communication skills essential to professionals in any discipline. Our goals are to provide undergraduate students with the opportunities to learn the research process, assimilate latest research, assess their own research, present their own work and experimental results, prepare publications, and prepare for admission to graduate school. This site will ensure at least four participants are underrepresented students and at least six participants are from other institutions, especially undergraduate institutions where research programs are limited.Intellectual Merit:The program will build a "real-world" working environment to help undergraduate students to develop an ability to think independently, a willingness to explore a multitude of approaches, a tenacity to face obstacles, and a background to learn state-of-the-art technical knowledge. Multiple projects will be defined to support and broaden current research efforts. These research projects include semantic-based CBIR (Content-Based Image Retrieval), image forensic and authentication, fire and flame detection, coalition organization with agent leadership, trust of robotic systems, and cooperative network monitoring. The proposed work will address the broad spectrums and challenging issues in CVMA using hands-on stimulating research projects. Some projects, designed for highly talented students, seek to advance knowledge and understanding by addressing unsolved problems. Others seek to employ CVMA techniques to solve the real-world problems. An intellectual approach will be applied to encourage students in active learning, free and open exchange of ideas, team spirit, and recognition and rewards for achievements. Broader Impacts:The program will impact the disciplines of CS and the competitiveness of our nation by seeding the next generation of researchers.The program will impact the individual participants by promoting the development of their independent thinking and problem-solving skills. The program's focus on students from primarily undergraduate institutions and on members of underrepresented groups will further enhance these impacts. Finally, the research itself has the potential for positive social impact due to its focus on real-world applications. Early exposure to research activities will substantially further students' learning process, significantly enhance their research experience, quickly develop their skills in CVMA related research, actively promote their interests in research, and effectively inspire their desire to pursue advanced degrees.
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REU Site Program in Computer Vision and Image Processing
  • 批准号:
    0453552
  • 项目类别:
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  • 资助金额:
    $23.32万
  • 财政年份:
    2005
  • 负责人:
    Xiaojun Qi
  • 依托单位:
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