COMPUTER VISION (2/2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Describe the computational principles underlying various application of Computer Vision Systems; Explain the various standard procedures of image preprocessing prior to image analysis; Select and extract different image features required for various application of Computer Vision Systems; Construct reliable and accurate Computer Vision Systems for solving various image based industrial problems.

Topics:

1. Introduction to Computer Vision;
2. Image Formation: Geometric Camera Models;
3. Image Formation: Light and Color;
4. Linear Filters;
5. Edge Detection;
6. Image Feature;
7. Image Segmentation I;
8. Image Segmentation II;
9. Structure from motion;
10. Recognition I;
11. Recognition II;
12. Project Presentation.

Course Outline – COMP7116