摘要
针对计算机视觉课程核心知识点分散、较难以掌握的问题,设计并实践综合性教学案例“环视系统构建及基于环视的语义信息提取”。以此案例为载体,讲授相机模型、相机标定、几何变换和深度学习等知识点,让学生在实践中学习、在学习中实践。该案例的有效性已在同济大学的教学实践中得到充分验证。
To solve the problem that the knowledge points of computer vision are scattered and difficult to master,a comprehensive teaching case"construction of the surround-view system and semantic information extraction from the SVS"is designed and practiced.We take this teaching case as the carrier to teach knowledge points such as camera model,camera calibration,geometric transformation and deep learning.In this way,students can learn and practice simultaneously.The effectiveness of the proposed teaching case has been fully verified in the teaching practice of Tongji University.
作者
张林
沈莹
ZHANG Lin;SHEN Ying
出处
《高教学刊》
2023年第16期47-50,共4页
Journal of Higher Education
基金
国家自然科学基金项目“基于视觉的泊车位检测技术中关键问题的研究”(61972285)
同济大学研究生教育研究与改革项目“机器学习”(2021KCSZKC19)。
关键词
计算机视觉
教学案例
实践教学
环视系统
核心知识点
computer vision
teaching case
teaching by practice
surround-view system
core knowledge point
