CSCI 4527/6527

Final Project initial description is now available.
Readings will be assigned from the fantastic, textbook Computer Vision: Algorithms and Applications, electronically available for free.
Lecture Notes:
  1. [1/17] Introduction + Cameras (pptx). Reading, Szeliski Chapter 1.
  2. [1/19] Camera Geometry. Lecture Notes, In Class Matlab Code. Szeliski 2.1
  3. [1/23] Camera Geometry II. Lecture Notes In Class Matlab Code. Szeliski 2.1
  4. [1/25] Camera Geometry III. Lecture Notes (continued from prev. class) In Class Matlab Code. Szeliski 2.1
  5. [1/30] Image Filtering I. Lecture Notes.
  6. [2/1] Guest Lecture, Murray Leow!
  7. [2/6] Images and Frequencies Lecture Notes.
  8. [2/8] PCALecture Notes.
  9. [2/13] PCA over time Lecture Notes.
  10. [2/15] Intrinsic Images Lecture Notes.
  11. [2/20] Review!
  12. [2/22] Midterm 1
  13. [2/27] Local Image Features Lecture Notes.
  14. [3/1] RANSAC and image stitching Lecture Notes.
  15. [3/6] stereo Lecture Notes.
  16. [3/8] structure from motion Lecture Notes.
  17. [3/19] History of Image Recognition Lecture Notes
  18. [3/21] Recognition Intro Lecture Notes
  19. [3/27] Recognition Basics Lecture Notes
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