This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis. Students will learn basic concepts of computer vision as well as hands on experience to solve real-life vision problems.

To get started with the class you need to do just three things:

1. Sign up for the course Piazza.
2. Sign up for an account on this webpage. (No signup code required for the 1st week; the signup code will be on Piazza for those registering after week 1.)
3. Carefully read through the Course Info.

Aug 31 (Mon)	Course Introduction
Sep 2 (Wed)	Image Filtering
Sep 7 (Mon)	Labor Day; No Classes
Sep 9 (Wed)	Image Pyramids and Frequency Domain Assignment 1 out
Sep 14 (Mon)	Hough Transform Quiz 1 out
Sep 16 (Wed)	Detecting Corners
Sep 21 (Mon)	Feature Detectors and Descriptors Quiz 1 DUE Quiz 2 out
Sep 23 (Wed)	2D Transformations Assignment 1 DUE Assignment 2 out
Sep 28 (Mon)	Image Homographies Quiz 2 DUE Quiz 3 out
Sep 30 (Wed)	Geometric Camera Models
Oct 5 (Mon)	Geometric Camera Models (cont.) Quiz 3 DUE Quiz 4 out
Oct 7 (Wed)	Two-View Geometry Assignment 2 DUE Assignment 3 out
Oct 12 (Mon)	Stereo Quiz 4 DUE Quiz 5 out
Oct 14 (Wed)	Radiometry and Reflectance
Oct 19 (Mon)	Photometric Stereo Quiz 5 DUE Quiz 6 out
Oct 21 (Wed)	Digital Photography Assignment 3 DUE Assignment 4 out
Oct 26 (Mon)	Digital Photography (cont.) Quiz 6 DUE on Oct 27th Quiz 7 out
Oct 28 (Wed)	Image Classification
Nov 2 (Mon)	Image Classification (cont.) Quiz 7 DUE Quiz 8 out
Nov 4 (Wed)	Neural Networks Assignment 4 DUE Assignment 5 out
Nov 9 (Mon)	Neural Networks (cont.) Quiz 8 DUE on Nov 10th Quiz 9 out
Nov 11 (Wed)	Convolutional Neural Networks
Nov 16 (Mon)	Convolutional Neural Networks (cont.) Quiz 9 DUE Quiz 10 out
Nov 18 (Wed)	Optical Flow Assignment 5 DUE Assignment 6 out
Nov 23 (Mon)	Alignment and Tracking Quiz 10 DUE on Nov 24th Quiz 11 out
Nov 25 (Wed)	Thanksgiving; No Classes
Nov 30 (Mon)	Alignment and Tracking (cont.) Quiz 11 DUE Assignment 7 out
Dec 2 (Wed)	Segmentation and Graph-based Techniques Assignment 6 DUE
Dec 7 (Mon)	Special Topics: Computational Imaging
Dec 9 (Wed)	Wrap-up Assignment 7 DUE on Dec 11th

(Due Sep 23rd)

Programming Assignment 1: Image Filtering and Hough Transform

(Due Oct 7th)

Programming Assignment 2: Augmented Reality with Planar Homographies

(Due Oct 21st)

Programming Assignment 3: 3D Reconstruction

(Due Nov 4th)

Programming Assignment 4: Physics-based Vision

(Due Nov 18th)

Programming Assignment 5: Scene Recognition with Bag of Words

(Due Dec 2nd)

Programming Assignment 6: Neural Networks for Recognition

(Due Dec 11th)

Programming Assignment 7: Video Tracking

(Due Sep 21st)	Quiz 1: Convolutions and Fourier transforms (LaTeX source)
(Due Sep 28th)	Quiz 2: Corners and Covariance Matrices (LaTeX source)
(Due Oct 5th)	Quiz 3: Heterogeneous and Homogeneous Coordinates (LaTeX source)
(Due Oct 12th)	Quiz 4: Camera Projection Matrices (LaTeX source)
(Due Oct 19th)	Quiz 5: Essential and Fundamental Matrices (LaTeX source)
(Due Oct 27th)	Quiz 6: Reflectance and Photometric Stereo (LaTeX source)
(Due Nov 2nd)	Quiz 7: Minnaert BRDF Model (LaTeX source)
(Due Nov 10th)	Quiz 8: Nearest Neighbors (LaTeX source)
(Due Nov 16th)	Quiz 9: Neural Networks (LaTeX source)
(Due Nov 24th)	Quiz 10: Optical Flow (LaTeX source)
(Due Nov 30th)	Quiz 11: Image Alignment (LaTeX source)

The lecture notes have been pieced together from many different people and places. Special thanks to colleagues for sharing their slides: Kris Kitani, Bob Collins, Srinivasa Narashiman, Martial Hebert, Alyosha Efros, Ali Faharadi, Deva Ramanan, Yaser Sheikh, and Todd Zickler. Many thanks also to the following people for making their lecture notes and materials available online: Steve Seitz, Richard Selinsky, Larry Zitnick, Noah Snavely, Lana Lazebnik, Kristen Grauman, Yung-Yu Chuang, Tinne Tuytelaars, Fei-Fei Li, Antonio Torralba, Rob Fergus, David Claus, and Dan Jurafsky.