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.

Jan 17 (Wed)	Course Introduction
Jan 22 (Mon)	Image Filtering
Jan 24 (Wed)	Image Pyramids and Frequency Domain Assignment 1 out
Jan 29 (Mon)	Hough Transform
Jan 31 (Wed)	Detecting Corners
Feb 5 (Mon)	Feature Detectors and Descriptors
Feb 7 (Wed)	2D Transformations Assignment 1 DUE Assignment 2 out
Feb 12 (Mon)	Image Homographies
Feb 14 (Wed)	Geometric Camera Models
Feb 19 (Mon)	Geometric Camera Models (cont.)
Feb 21 (Wed)	Two-View Geometry Assignment 2 DUE Assignment 3 out
Feb 26 (Mon)	Stereo
Feb 28 (Wed)	Image Classification
Mar 4 (Mon)	NO CLASS (Spring Break)
Mar 6 (Wed)	NO CLASS (Spring Break)
Mar 11 (Mon)	Image Classification (cont.)
Mar 13 (Wed)	Neural Networks Assignment 3 DUE Assignment 4 out
Mar 18 (Mon)	Neural Networks (cont.)
Mar 20 (Wed)	Convolutional Neural Networks
Mar 25 (Mon)	Optical Flow
Mar 27 (Wed)	Alignment and Tracking Assignment 4 DUE Assignment 5 out
Apr 1 (Mon)	Alignment and Tracking (cont.)
Apr 3 (Wed)	Radiometry and Reflectance
Apr 8 (Mon)	Radiometry and Reflectance (cont.)
Apr 10 (Wed)	Photometric Stereo Assignment 5 DUE Assignment 6 out
Apr 15 (Mon)	Digital Photography
Apr 17 (Wed)	Digital Photography (cont.)
Apr 22 (Mon)	Special Topics
Apr 24 (Wed)	Wrap-up
Apr 26 (Fri)	Assignment 6 DUE

(Due Feb 7th)

Programming Assignment 1: Image Filtering and Hough Transform

(Due Feb 21st)

Programming Assignment 2: Augmented Reality with Planar Homographies

(Due Mar 13th)

Programming Assignment 3: 3D Reconstruction

(Due Mar 27th)

Programming Assignment 4: Scene Recognition with Bag of Words

(Due Apr 10th)

Programming Assignment 5: Neural Networks for Recognition

(Due Apr 26th)

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.