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