COMPUTER VISION (2/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:

1. Describe various computational principles and standard image processing operators in computer vision
2. Explain the local features with their detectors and descriptors in computer vision
3. Employ various features to find the correspondence between images and perform recognition in computer vision
4. 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