RS refers to the online draft of the upcoming book Computer Vision: Algorithm and Applications by Richard Szeliski.

Lectures


Date Topic Readings Homework
WEEK 1
9/25 Introduction
Filters
- (not graded) MATLAB tutorial
WEEK 2
9/30 Camera optics
RS Ch 1.0, 2.1 Project 1 out
10/2 Color and sensors
-
WEEK 3
10/7 Filters(part2), Fourier-intro RS Ch 3.2.1, 3.3 -
10/9 Fourier - Project 2 out
WEEK 4
10/14 Texture Efros and Leung -
10/16 Probability, Morphology -
WEEK 5
10/21 Blending Possion Image Editing -
10/23 Matting Bayesian Matting Project 3 out
WEEK 6
10/28 Seam Carving Seam Carving -
10/30 Seam2,Features RS Ch 4.1 -
WEEK 7
11/4 Projection RS Ch 2.1 -
11/6 Transformations - -
WEEK 8
11/11 No class - -
11/13 Homographies & warping Notes (from Serge Belongie) 2,3,4 Project 4 out
WEEK 9
11/18 Non-calibrated geometry Notes (from Serge Belongie) 5 -
11/20 Reconstruction PhotoTourism -
WEEK 10
11/25 Recognition Eigenfaces -
WEEK 10
12/02 PCA PCA notes -