目录

  • 1 课程简介
    • 1.1 课程简介
  • 2 师资队伍
    • 2.1 师资队伍
  • 3 教学大纲
    • 3.1 教学大纲
  • 4 教学进程表
    • 4.1 教学进程表
  • 5 教学课件
    • 5.1 教学课件
  • 6 教学视频
    • 6.1 教学视频
  • 7 参考资料
    • 7.1 参考资料
  • 8 习题解答
    • 8.1 习题解答
课程简介

[0]计算机视觉导论-课程介绍.pdf

视觉信息是人类交流和认知客观世界的主要信息之一,帮助人类从外界获取75%以上的信息,因此研究视觉信息处理的原理和技术探索是实现计算机智能化和提高生产力的必经之路,也是现代信息产业的主要支柱。

计算机视觉是一门前沿、交叉学科,从信息处理的层次研究信息的认知过程,探索视觉信息处理的计算理论和表达方法,实现计算机对场景的高层理解和认知。从研究方法来看,与数学、物理学、生理学、心理学、电子学和计算机科学等多学科发展可相互借鉴;从研究范围来看,与人工智能、模式识别和机器学习等相关理论和技术都有密切的联系。同时,计算机视觉的发展和应用与电子、计算机、自动化、通信、医学和遥感等许多领域是不可分割的,已广泛应用于智能视频监控、工业检测、成像侦察、成像制导、虚拟现实与增强现实、生物医学、科学可视化、遥感、影视娱乐等多个行业。

通过计算机视觉导论课程的教学,使本科生对图像处理、模式识别和计算机视觉等相关概念有所理解;同时,通过对计算机视觉领域国际前沿理论的介绍和分析有利于提高学生的创新能力。通过该课程的学习,使学生能深入理解计算机视觉的基本思想和研究体系,熟练掌握计算机视觉的基本原理和基本方法,并与实际应用密切联系,使学生具备设计面向实际应用的计算机视觉系统的能力。

Visual information is one of the main source data for human being communication and cognition of the objective world, and more than 75% of the information comes from our visual system. So the visual information processing theory and technology is the only way must be passed to realize intelligent computer and productivity, and also is the mainstay of the modern information industry.

Computer vision is a frontier, cross discipline. It studies cognitive process of the exploration on the theory of visual information based on information processing level, explores the computation theory and express method of visual information processing, realizes high-level understanding and recognition of the scene by computer. From the perspective of research methods, it can be used for reference with the development of mathematics, physics, physiology, psychology, electronics and computer science. From the perspective of research, there is a close connection between the theory and technology of artificial intelligence, pattern recognition and machine learning. At the same time, the development and application of computer vision and electronic, computer, automation, communication, medical and remote sensing are inseparable, etc many fields has been widely used in intelligent video surveillance, industrial detection, imaging reconnaissance, imaging guidance, virtual reality and augmented reality, biological medicine, scientific visualization, remote sensing, entertainment and other industries.

Through the teaching of computer vision introduction course, the undergraduates have some understanding of image processing, pattern recognition and computer vision. At the same time, the introduction and analysis of the international frontier theory of computer vision is helpful to improve students' innovation ability. Through the learning of the course, the students can understand the basic ideas of computer vision and research system, mastering the basic principle and basic method of computer vision, and closely connected with the practical application, makes the student have the ability of designing a computer vision system for practical application.