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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- School of Computing
- Instructor(s)
- Undecided
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- -
- Group
- -
- Course number
- XCO.T499
- Credits
- 2
- Academic year
- 2021
- Offered quarter
- 2Q
- Syllabus updated
- 2021/3/19
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
This course provides lectures on stat-of-the-art topics by faculty members invited from overseas universities.
Introduction to Computer Vision:
The goal of the course is to provide basic and advanced knowledge on Computer Vision such as visual features, visual recognition, machine learning, convolutional neural network, image geometry, and structure from motion, and to provide skills to make CV programs, including Hough Transform, Bag of Words, Deep Learning, and Homography.
Student learning outcomes
Students should be able to understand basic and advanced knowledge on Computer Vision and to develop CV programs.
Keywords
state-of-the-art topics in Computer Vision
Competencies that will be developed
| ✔ Specialist skills | ✔ Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Specified in the class
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Visual features 1 | Specified in the class |
| Class 2 | Visual features 2 | Specified in the class |
| Class 3 | Programming assignment (Hough Transform) | Specified in the class |
| Class 4 | Visual recognition 1 | Specified in the class |
| Class 5 | Visual recognition 2 | Specified in the class |
| Class 6 | Programming assignment (BoW) | Specified in the class |
| Class 7 | Machine learning | Specified in the class |
| Class 8 | CNN | Specified in the class |
| Class 9 | Programming assignment (Deep learning) | Specified in the class |
| Class 10 | Image geometry1 | Specified in the class |
| Class 11 | Image geometry 2 | Specified in the class |
| Class 12 | Programming assignment (Homography) | Specified in the class |
| Class 13 | Structure from motion 1 | Specified in the class |
| Class 14 | Structure from motion 2 | Specified in the class |
| Class 15 | Special topic | Specified in the class |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None. The notes will be sent after each lesson to students who follow the lecture.
Reference books, course materials, etc.
will be provided in the class.
Assessment criteria and methods
A take-home exam at the end of the course
Related courses
- XCO.T496 ： Advanced Topics in Computing AE
- XCO.T497 ： Advanced Topics in Computing AO
- XCO.T498 ： Advanced Topics in Computing BE
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Specified in the class
