Mailing list link
Office Hours and Location: Wednesday 4:00 pm.
TAs: Jonathan Tompson (email@example.com) and Ye Ji (firstname.lastname@example.org)
Course Structure: theory and laboratory work. Groups of three students will work together in developing vision applications. Programing Language/Environment: MATLAB
Projects will be developped in class and as homeworks. Evaluation is based on participation and project results.
1. Introduction to Computer Vision.
A historical film about the beginning of computer vision MIT-1959
2. Singal Processing
Learning MATLAB is necessary. Also, there is a large library of computer vision algorithms including how to read and write image files at opencv
To learn convolution, one may go to any signal processing material or convolution
To learn wavelets, Haar and Morlet Wavelets, here is the first introduction of the concept HaarWavelet.Basics.pdf
and then one may go to any material or Wavelets
MATLAB Morlet Wavelets
3. Stereo Epipolar Lines and Calibration
Images: noise.circle.jpg , butterfly.jpg
Homework 2: Stereo.
Stereo pairs: Middleburry Data set 2006 We will work with the stereo pairs "Aloe" and "Monopoly"
Homework 3: Face Recognition.