COMPUTER VISION IN IOT (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 identification and recognition system in computer vision

Topics:

1. Introduciton of computer vision
2. Image Processing I
3. Image transformation
4. Edge detection
5. Feature detection
6. Feature detection using SIFT
7. Image Matching
8. Image recognation
9. Machine Learning for Image Recognition
10. Machine Learning for Image Classifier
11. Instance Retrieval
12. Category Recognition
13. Project collection
14. Introduction to computer vision
15. Statistical Descriptions of Image
16. Image Processing
17. Edge Detection
18. Feature Detection
19. Image Matching
20. Quiz I
21. Introduction to Image Recognition
22. Image Retrieval
23. Object Detection