Y0170011
3 Practice on Design Project 11
Students learn image processing in computer vision thoughout its practice. Students need to make computer programs, in which
the image is input from the visible-ray camera and the information requied according to the purpose is extracted and output,
by using C/C++ language, or python. Based on several practice subjects, students learn representative image processing algorithm
used in computer vision, camera calibration method, and artificial intelligence.
First, we ain at learning and understanding what is image processing in computer vision field thoroughout several practice
subjects. Second, we aim at enhancing computer programing skills, e.g., C/C++ language or Python experienced in the 1st and
2nd grades, and understandings of artificial intelligence and signal processing lerned in the 3rd garde.
- Understand image processing and its system in computer vision field. Can explain the floe from image input to data output
based its procedure according to purpos.e
- Can design and implement the image processing program by using C/C++ language and python.
- Can understand and implement the camera calibration technique, which is essential in image processing. Can aplly the calibration
data for the programs students make. In addtion, can understand and explan some simple artificial intelligence program.
Japanese(English accepted)
|
Class schedule |
HW assignments (Including preparation and review of the class.) |
Amount of Time Required |
1. |
Guidance. Introduction of image processing and its system. Group decision. Setup for programing development environment
of this practice.
|
Preparation of programing development environment by C/C++ language or python |
120minutes |
2. |
Basic subjects of image processing beased on programming (1) |
Implementation of programing subjects by C/C++ language or python |
120minutes |
3. |
Understanding of camera calibration and its practice |
Preparation and implementation of camera calibration by C/C++ language or python |
120minutes |
4. |
Basic subjects of image processing beased on programming (2) |
Implementation of programing subjects by C/C++ language or python |
120minutes |
5. |
Understanding of easy artificial intelligence using image processing and its its practice |
Implementation of artificial intelligence programing subjects by C/C++ language or python |
120minutes |
6. |
Practice of free programming subjects using image processing |
Implementation of free programing subjects by C/C++ language or python |
240minutes |
7. |
Presentation by each group |
Preparation of presentation and report |
240minutes |
Total. |
- |
- |
1080minutes |
Relationship between 'Goals and Objectives' and 'Course Outcomes'
|
Report |
Presentation |
Total. |
1. |
32% |
8% |
40% |
2. |
24% |
6% |
30% |
3. |
24% |
6% |
30% |
Total. |
80% |
20% |
- |
Evaluation method and criteria
This practice decides each student's evaluation based on report and presentation paying attention to understanding of image
processing and its system, implementation ability by computer programming, and understanding of camera calibration technique
and artificial intelligence using image information. Students need over score of 60 for their approval of the unit of this
practice. (first report:20pts, second report:20pts, and the last presentation & report:60pts)
Textbooks and reference materials
Distribute document resource, handouts, or etc, timely.
Needs to get unit of "Programming Practce" in the 2nd grade.
Office hours and How to contact professors for questions
- Rest time in this practice and after this practice
Non-regionally-oriented course
Development of social and professional independence
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic problem-solving skills
- Course that cultivates a basic interpersonal skills
- Course that cultivates a basic self-management skills
Most classes are interactive
Course by professor with work experience
Work experience |
Work experience and relevance to the course content if applicable |
Applicable |
The professor who experience the contents of this practice in other universities supports this practice. |
Education related SDGs:the Sustainable Development Goals
- 3.GOOD HEALTH AND WELL-BEING
- 4.QUALITY EDUCATION
- 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
- 13.CLIMATE ACTION
Feedback on exams, assignments, etc.
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Last modified : Sat Sep 09 05:05:12 JST 2023