COMPUTER VISION (2/2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Describe various computational principles and standard image processing operators in computer vision; Explain the local features with their detectors and descriptors in computer vision; Employ various features to find the correspondence between images and perform recognition in computer vision; Build various image recognition system in computer vision.

Topics:

1. Image Processing I;
2. Image Processing II;
3. Feature Detection I;
4. Feature Detection II;
5. Image Matching;
6. Image Recognition;
7. Machine Learning for Image Recognition;
8. Instance Retrieval;
9. Category Recognition;
10. Object Detection;
11. Introduction to Computer Vision;
12. Statistical Descriptions of Image;
13. Image Processing;
14. Edge Detection;
15. Feature Detection;
16. Image Matching;
17. Quiz I;
18. Introduction to Image Recognition;
19. Image Retrieval;
20. Object Detection;
21. Review;
22. Final Project Presentation + Review;
23. Edge Detection;
24. Final Project Presentation;
25. Introduction to Computer Vision and Image Formation.