"深度学习在机器视觉中的应用：北京邮电大学计算机学院课程总结"

The course "Machine Vision Technology" offered at the School of Computer Science, Beijing University of Posts and Telecommunications, provided a comprehensive overview of various concepts and techniques in the field of computer vision. Throughout the course, students were introduced to topics such as semantic information, metric 3D information, pixels, segments, images, videos, cameras, multi-view geometry, convolutions, and edges. One of the key takeaways from the course was the importance of understanding the underlying principles of machine vision technology in order to develop effective solutions for real-world applications. By learning how to extract and analyze visual information from images and videos, students gained valuable insights into how machine vision technology can be used to automate various tasks and improve efficiency in a wide range of industries. Another important aspect of the course was the hands-on experience gained through practical exercises and projects. By working with different software tools and datasets, students were able to apply the theoretical knowledge gained in class to solve practical problems and develop their own machine vision algorithms. This practical experience not only enhanced their understanding of the course material but also prepared them for future research and industry projects in the field of computer vision. Overall, the course "Machine Vision Technology" provided a solid foundation in the fundamental concepts and techniques of machine vision technology. By combining theoretical knowledge with practical experience, students were able to develop a deep understanding of how machine vision technology works and how it can be applied to solve real-world problems. As they move forward in their academic and professional careers, the skills and knowledge gained from this course will undoubtedly prove invaluable in the rapidly growing field of computer vision.