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