People Innovation Excellence
 

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

Published at : Updated

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