CNG483 INT. TO COMP. VISION
| Course Code: | 3550483 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. CEM DİREKOĞLU |
| Offered Semester: | Spring Semesters. |
Course Objectives
- Understand formation of images, the types of camera models and the camera parameters.
- Apply different image processing and feature extraction techniques to images to extract low-level meaningful information.
- Understand different mid-level and high-level vision problems such as motion estimation, depth estimation, object recognition, scene understanding and apply them on real-world problems.
- Describe the different vision theories and the link between visual perception and computer vision.
- Gather hands-on experience on implementing contemporary deep learning based approaches for computer vision.
Course Content
Image formation, camera models and parameters, stereo vision, shape from stereo, shape from single image cues, apparent motion, optical flow, introduction to 3D shape representation and recognition.
Course Learning Outcomes
Satisfies the following student outcomes (SOs) via the following Performance Indicators:
- SO-1 – PI-a5
- Apply linear algebra to model and solve computational problems.
- SO-1 – PI-a6
- Apply probability theory and statistics to handle uncertainty.
- SO-2 – PI-c4
- Design and implement components and systems to process (i.e. acquire, store, organize, manipulate, access and present) varied amounts of data.
- SO-1-2-6 – PI-k5
- Use some special purpose languages and tools, such as those for mathematical programming, simulation, statistical analysis and hardware description.