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Encouraging the Development of Undergraduate Researchers in Computer Vision

机译:鼓励计算机视觉领域本科生的发展

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In a small computer science department without a graduate program, it is sometimes difficult to attract research students. This is particularly true for research in computer vision, since it is built upon a substantial body of knowledge, including considerable mathematics, that most undergraduates are not familiar with. My approach to encouraging students to take part in this research starts by introducing computation with images in early programming classes. Students become comfortable working with images in a structured framework, where they are not exposed to excessive underlying details. The students that become interested in working with images can take my computer vision class. This course is taught in a way that students can understand the material without having a deep background in mathematics. Students that are successful in this class are ready for (and encouraged to) work on undergraduate research projects and perform internships in computer vision research. While my strategy focuses on computer vision, similar approaches could be used for other research areas.
机译:在没有研究生课程的小型计算机科学系中,有时很难吸引研究型学生。对于计算机视觉的研究尤其如此,因为它建立在大多数本科生不熟悉的大量知识(包括大量数学)的基础上。我鼓励学生参加这项研究的方法是从在早期编程课程中引入带有图像的计算开始。学生可以在结构化的框架中轻松处理图像,而不会在框架中暴露过多的底层细节。对图像处理感兴趣的学生可以参加我的计算机视觉课程。本课程的教学方式是使学生无需掌握数学的深厚背景就可以理解材料。在本课程中取得成功的学生已准备好(并被鼓励)从事本科研究项目,并在计算机视觉研究中进行实习。尽管我的策略专注于计算机视觉,但其他研究领域也可以使用类似的方法。

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