REU Site Program in Computer Vision and Image Processing

REU 计算机视觉和图像处理站点项目

• 批准号: 0453552
• 负责人: Xiaojun Qi
• 金额: $ 23.32万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-01 至 2009-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0453552&HistoricalAwards=false
• 关键词: REU; Site; Program; Computer; Vision

This REU site project allows eight undergraduate students to participatein a ten-week summer program at Computer Science Department of UtahState University. This summer program focuses on several hands-onstimulating research projects including face recognition, eye tracking,digital watermarking, image compression, and content based imageretrieval. These projects will address the broad spectrums and thechallenging issues in the field of computer vision and image processing(CVIP) and will emphasize on several CVIP techniques and their importantutilities in some interesting and crucial applications. The REUparticipants will be presented with a broad range of components in theseresearch topics so that each student will be able to choose a componentof a project rather than have one assigned. This research will ensure atleast four of the eight participants are underrepresented students andensure at least four students are from other institutions, especiallythose institutions where research programs are limited. This active andregional recruitment plan will especially help underrepresented studentsand the students who are limited exposed to research to be acquaintedwith interesting research projects and gain confidence in pursuing theirdegrees, seeking industrial technology related jobs, and continuingpursuing an advanced degree in graduate schools.

这个REU网站项目允许8名本科生参加犹他州州立大学计算机科学系为期10周的暑期项目。这个暑期项目集中在几个刺激动手的研究项目上，包括人脸识别、眼睛跟踪、数字水印、图像压缩和基于内容的图像检索。这些项目将解决计算机视觉和图像处理(CVIP)领域的广泛领域和挑战问题，并将重点介绍几种CVIP技术及其在一些有趣和关键的应用中的重要应用。在研究主题中，将向REU参与者呈现广泛的组成部分，以便每个学生能够选择项目的组成部分，而不是被分配一个。这项研究将确保八名参与者中至少有四名是代表不足的学生，并确保至少四名学生来自其他机构，特别是那些研究项目有限的机构。这一积极的地区性招聘计划将特别帮助代表性不足的学生和接触研究有限的学生了解有趣的研究项目，并获得攻读学位的信心，寻找与工业技术相关的工作，并继续在研究生院攻读高级学位。