Computer Vision (CMU 16-385)

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.

Basic Info
Mon/Wed 11:50am-1:10pm
GHC 6115
Instructor: Matthew O'Toole
See the Course Info page for more info on policies and logistics.
Getting Started
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.
Fall 2022 Schedule
Aug 29 (Mon)
Aug 31 (Wed)
Sept 5 (Mon)
NO CLASS (Labor Day)
Sept 7 (Wed)
Assignment 1 out
Sept 12 (Mon)
Quiz 1 out
Sept 14 (Wed)
Sept 19 (Mon)
Quiz 1 DUE
Quiz 2 out
Sept 21 (Wed)
Assignment 1 DUE
Assignment 2 out
Sept 26 (Mon)
Quiz 2 DUE
Quiz 3 out
Sept 28 (Wed)
Oct 3 (Mon)
Quiz 3 DUE
Quiz 4 out
Oct 5 (Wed)
Assignment 2 DUE
Assignment 3 out
Oct 10 (Mon)
Quiz 4 DUE
Quiz 5 out
Oct 12 (Wed)
Oct 17 (Mon)
NO CLASS (Fall Break)
Oct 19 (Wed)
NO CLASS (Fall Break)
Oct 24 (Mon)
Quiz 5 DUE
Quiz 6 out
Oct 26 (Wed)
Assignment 3 DUE
Assignment 4 out
Oct 31 (Mon)
Quiz 6 DUE
Quiz 7 out
Nov 2 (Wed)
Nov 7 (Mon)
Quiz 7 DUE
Quiz 8 out
Nov 9 (Wed)
Assignment 4 DUE
Assignment 5 out
Nov 14 (Mon)
Quiz 8 DUE
Quiz 9 out
Nov 16 (Wed)
Nov 21 (Mon)
Quiz 9 DUE
Quiz 10 out
Nov 22 (Tues)
Assignment 5 DUE
Assignment 6 out
Nov 23 (Wed)
NO CLASS (Thanksgiving Holiday)
Nov 28 (Mon)
Nov 30 (Wed)
Quiz 10 DUE
Quiz 11 out
Dec 5 (Mon)
Dec 7 (Wed)
Quiz 11 DUE
Dec 9 (Fri)
Assignment 6 DUE
(Due Sept 21st)Programming Assignment 1: Image Filtering and Hough Transform
(Due Oct 5th)Programming Assignment 2: Augmented Reality with Planar Homographies
(Due Oct 26th)Programming Assignment 3: 3D Reconstruction
(Due Nov 9th)Programming Assignment 4: Scene Recognition with Bag of Words
(Due Nov 22nd)Programming Assignment 5: Neural Networks for Recognition
(Due Dec 9th)Programming Assignment 6: Video Tracking
(Due Sept 19th)Quiz 1: Convolutions and Fourier transforms
(Due Sept 26th)Quiz 2: Corners and Covariance Matrices
(Due Oct 3rd)Quiz 3: Transformations, Heterogeneous, and Homogeneous Coordinates
(Due Oct 10th)Quiz 4: Camera Projection Matrices
(Due Oct 24th)Quiz 5: Essential and Fundamental Matrices
(Due Oct 31st)Quiz 6: Fundamental Matrices (cont.) and Nearest Neighbors
(Due Nov 7th)Quiz 7: Neural Networks
(Due Nov 14th)Quiz 8: Neural Networks (cont.) and Optical flow
(Due Nov 21st)Quiz 9: Image Alignment
(Due Nov 30th)Quiz 10: Radiometry and Reflectance
(Due Dec 7th)Quiz 11: Photometric Stereo

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.