教學大綱與進度
課程基本資料:
學年期
課號
課程名稱
階段
學分
時數
修
教師
班級
人
撤
備註
108-1
267359
科學視算
1
3.0
3
★
楊元森
防災所
5
0
教學大綱與進度:
教師姓名
楊元森
Email
ysyang@ntut.edu.tw
最後更新時間
2019-09-04 10:19:35
課程大綱
Scientific visualization is the use of computer graphics to visually represent the composite meaning of the large amount of data obtained by scientific computation, extensive monitoring, or engineering experiments. The scientific visualization in this semester focuses on the advanced C/C++ programming skills and computer vision, visualization, and practical applications.
課程進度
Week 1: Introduction to Computer Vision and Visualization Week 2: Installation of C++ Development with Qt and OpenCV Week 3: Graphical User Interface Development using C++/Qt (I) Week 4: Graphical User Interface Development using C++/Qt (II) with OpenCV Week 5: Documentation Week 6: Version Control and Maintenance Week 7: 2D Coordinate Transformation (I): Theory and formula Week 8: 2D Coordinate Transformation (II): C/C++ Programming Exercises Week 9: Midterm: Rapid Programming and Documentation Week 10: 3D Coordinate Transformation (I): Theory and Formula Week 11: 3D Coordinate Transformation (II): Camera Model Week 12: 3D Coordinate Transformation (III): C/C++ Programming Exercises Week 13: Camera Calibration Week 14: Machine Learning Basics Week 15: Machine Learning Exercises Week 16: Final Project Opening Discussion (I) Week 17: Final Project Opening Discussion (II) Week 18: Final Project Presentations
評量方式與標準
1. Lecture activities (attendance, interaction, lecture assistance) (30% +/- 5%) 2. Midterm (20% +/- 5%) 3: Final Presentation (20% +/- 5%) 4: Final Report (30% +/- 5%)
使用教材、參考書目或其他
【遵守智慧財產權觀念,請使用正版教科書,不得使用非法影印教科書】
使用外文原文書:是
Kaehler, A. & Bradski G. R. (2017), Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. (ISBN-13: 978-1491937990)
課程諮詢管道
備註