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. 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.

Published at : Updated

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