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. (The signup code is on Canvas.)
3. Carefully read through the Course Info.

Aug 28 (Mon)	Course Introduction
Aug 30 (Wed)	Image Filtering
Sept 4 (Mon)	NO CLASS (Labor Day)
Sept 6 (Wed)	Image Pyramids and Frequency Domain Assignment 1 out
Sept 11 (Mon)	Hough Transform
Sept 13 (Wed)	Detecting Corners
Sept 18 (Mon)	Feature Detectors and Descriptors
Sept 20 (Wed)	2D Transformations Assignment 1 DUE Assignment 2 out
Sept 25 (Mon)	Image Homographies
Sept 27 (Wed)	Geometric Camera Models
Oct 2 (Mon)	Geometric Camera Models (cont.)
Oct 4 (Wed)	Two-View Geometry Assignment 2 DUE Assignment 3 out
Oct 9 (Mon)	Stereo
Oct 11 (Wed)	Image Classification
Oct 16 (Mon)	NO CLASS (Fall Break)
Oct 18 (Wed)	NO CLASS (Fall Break)
Oct 23 (Mon)	Image Classification (cont.)
Oct 25 (Wed)	Neural Networks Assignment 3 DUE Assignment 4 out
Oct 30 (Mon)	Neural Networks (cont.)
Nov 1 (Wed)	Convolutional Neural Networks
Nov 6 (Mon)	Optical Flow
Nov 8 (Wed)	Alignment and Tracking Assignment 4 DUE Assignment 5 out
Nov 13 (Mon)	Alignment and Tracking (cont.)
Nov 15 (Wed)	Radiometry and Reflectance
Nov 20 (Mon)	Radiometry and Reflectance (cont.)
Nov 21 (Tue)	Assignment 5 DUE
Nov 22 (Wed)	NO CLASS (Thanksgiving Holiday) Assignment 6 out
Nov 27 (Mon)	Photometric Stereo
Nov 29 (Wed)	Digital Photography
Dec 4 (Mon)	Digital Photography (cont.)
Dec 6 (Wed)	Wrap-up
Dec 8 (Fri)	Assignment 6 DUE

(Due Sept 20th)

Programming Assignment 1: Image Filtering and Hough Transform

(Due Oct 4th)

Programming Assignment 2: Augmented Reality with Planar Homographies

(Due Oct 25th)

Programming Assignment 3: 3D Reconstruction

(Due Nov 8th)

Programming Assignment 4: Scene Recognition with Bag of Words

(Due Nov 21st)

Programming Assignment 5: Neural Networks for Recognition

(Due Dec 8th)

Programming Assignment 6: Video Tracking

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.