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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
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- 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
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School of Environment and Society
- Department of Architecture and Building Engineering
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- 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
- Graduate major in Systems and Control Engineering
- Instructor(s)
- Tanaka Masayuki
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Mon3-4(S516)
- Group
- -
- Course number
- SCE.I501
- Credits
- 1
- Academic year
- 2016
- Offered quarter
- 4Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
Computational imaging systems have variety of applications include consumer cameras, cell phone cameras, vehicle camera systems, surveillance, medical imaging, remote sensing, and human computer interaction. Topics of computational imaging have a wide range of technologies in computer vision and image processing. This course focuses on image filtering, image editing, and image blending. In this course, students develop tools and/or application of computational imaging.
Student learning outcomes
By the end of this course, students will be able to:
1. Operate the image processing tool
2. Develop the image processing application
Keywords
Computational Image Processing
Competencies that will be developed
| ✔ Specialist skills | ✔ Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
This class is a kind of active learning. Instructor will give some information, but students are required to study the image processing techniques and to develop the image processing application and/or tools.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction of the course and the image processing techniques. | Set-up the development environment. |
| Class 2 | Survey image processing techniques. | List up the image processing techniques which students have interests. |
| Class 3 | Use-case development for the image processing applications and/or tools. | Define three scenarios. |
| Class 4 | Mid-term presentation | Present the scenario of the application which students will develop. |
| Class 5 | Implementation of the image processing applications and/or tools. | Implementation of the image processing applications and/or tools. |
| Class 6 | Test the image processing applications and/or tools. | Test the image processing applications and/or tools. |
| Class 7 | Debug the image processing applications and/or tools. | Debug the image processing applications and/or tools. |
| Class 8 | Final presentation and discussion | Present their works. |
Textbook(s)
None
Reference books, course materials, etc.
None
Assessment criteria and methods
Mid term presentation, final presentation, and report.
Related courses
- SCE.I531 ： Computer Vision
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
