MECHATRONICS ENGINEERING (ENGLISH, THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP5550 | Computer Vision | Spring | 3 | 0 | 3 | 8 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi TARKAN AYDIN |
Course Lecturer(s): |
Dr. Öğr. Üyesi TARKAN AYDIN |
Recommended Optional Program Components: | None |
Course Objectives: | This class introduces the fundamental techniques in computer vision. Initially basic concepts of image formation, representation and camera projection geometries will be given. Later some classical image processing techniques will be introduced such as edge detection, segmentation, thresholding etc. Image matching, optical flow, local image features will be described in the context of multiple image processing. Basic image recognition techniques are also to be introduced. 3D inference will be another focus where stereo imaging, 3D reconstruction and various shape from X techniques are to be discussed. |
The students who have succeeded in this course; Upon successful completion of this course, students will be able to: 1- List the main components of the computer vision processes 2- Identify the latest development of Computer Vision 3- Apply 3D vision techniques in real world applications |
Week | Subject | Related Preparation |
1) | Fundamental Concepts | |
2) | Digital Image processing techniques | |
3) | Edge Detection | |
4) | Line and curve detection | |
5) | Camera Calibration | |
6) | Stereo Vision | |
7) | Image segmentation | |
8) | Optical flow | |
9) | Analysis of visual Motion | |
10) | Shape from focus-defocus | |
11) | Shape From Motion | |
12) | Shape From Motion | |
13) | Object detection and Recognition | |
14) | Object detection and Recognition |
Course Notes / Textbooks: | "Computer Vision: Algorithms and Applications", Richard Szeliski "Introductory Techniques for 3-D Computer Vision", Trucco and Verri "Computer vision: A Modern Approach," David A. Forsyth, Jean Ponce • “Machine Vision” by Ramesh Jain, Rangachar Kasturi, Brian G. Schunck |
References: | Ceemple OpenCV IDE - https://www.ceemple.com/ |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 3 | % 30 |
Project | 1 | % 20 |
Midterms | 1 | % 20 |
Final | 1 | % 30 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 2 | 28 |
Project | 1 | 30 | 30 |
Homework Assignments | 4 | 12 | 48 |
Midterms | 1 | 20 | 20 |
Final | 1 | 30 | 30 |
Total Workload | 198 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Gains an academic background and abilities for making scientific research; analysis, interpretation and application of knowledge in subjects of Mechatronics Engineering. | |
2) | Acquires an ability to select, apply and develop modern techniques and methods for mechatronics engineering applications. | |
3) | Develops new and innovative ideas, procedures and solutions in the design of mechatronics systems, components and processes. | |
4) | Gains an ability for experimental design, data accumulation, data analysis, reporting and implementation. | |
5) | Acquires abilities for individual and team-work, communication and collaboration with team members and interdisciplinary cooperation. | |
6) | Gains an ability to communicate effectively oral and written; and a knowledge of English sufficient to follow technical developments and terminology. | |
7) | Acquires recognition of the need for, and an ability to access and report knowledge, to engage in life-long learning. | |
8) | Gains an understanding of universal, social and professional ethics. | |
9) | Acquires a knowledge of business-oriented project organization and management; awareness of entrepreneurship, innovation and sustainable development | |
10) | Gains awareness for the impact of mechatronics engineering applications on human health, environmental, security and legal issues in a global and social context. |