Course title | |||||
画像工学・コンピュータビジョン [Image Engineering and Computer Vision] | |||||
Course category | technology speciality courses,ets. | Requirement | Credit | 2 | |
Department | Year | 3~4 | Semester | 1st | |
Course type | 1st | Course code | 023812 | ||
Instructor(s) | |||||
清水 郁子 [SHIMIZU Ikuko] | |||||
Facility affiliation | Faculty of Engineering | Office | afjgxte/L1151 | Email address |
Course description |
In this course, students will learn about basics of image processing and computer vision. Basic theory and algorithms will be explained for processing input digital images using a computer to extract some kinds of information. |
Expected Learning |
See the Curriculum maps. |
Course schedule |
1.Introduction 2.Digital image ( sampling, quantization, color) 3.Conversion based on each pixel value 4.Conversion based on pixel values of regions 5.Geometric transformation(1) 6.Geometric transformation(2) Mid-Term Exam 7.Binary image processing(1) 8.Binary image processing(2) 9.Region processing 10.Detection of patterns and geometric objects 11.Obtaining 3D information(1) 12.Obtaining 3D information(2) 13.Obtaining 3D information(3) 14.Processing of image sequences(1) 15.Processing of image sequences(2) Final Exam |
Prerequisites |
You should prepare and review the contents of this lecture in addition to the standard hours (30 hours) of lectures, using teaching materials and reference books.In addition to 30 hours that students spend in the class, students are recommended to prepare for and revise the lectures, spending the standard amount of time as specified by the University and using the lecture handouts as well as the references specified below. |
Required Text(s) and Materials |
Digital image processing ( in Japanese), CG-ARTS society. |
References |
Assessment/Grading |
Midterm exam 50%, term-end exam 50% The grade evaluation in this online class is premised on all attendances, and comprehensively evaluates the attitude to learn, quizzes, report, and online tests. Standard study time set by the our university is required to get the grade. Grade will be given according to the following criteria by comprehensive evaluation: S: 90 points or more, A: 80 or more and less than 90 points, B: 70 or more and less than 80 points, C: 60 or more and less than 70 points. |
Message from instructor(s) |
Course keywords |
Image processing, computer vision |
Office hours |
Remarks 1 |
Remarks 2 |
Related URL |
Lecture Language |
Japanese |
Language Subject |
Last update |
5/23/2020 11:18:29 AM |