MIT CSAIL 6.869: Advances in Computer Vision
Fall 2012
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Class Notes and Slides

 

Lecture 1	A Simple Vision System	Lecture notes (Sep 6, 2012) Slides: ppt | pdf
Lecture 2	Linear Filters	No note. Refer to Chapter 3 of [Sz]. Slides: ppt | pdf
Lecture 3	Pyramids and scale space	No note. Refer to Chapter 3 of [Sz]. Slides: ppt | pdf | keynote
Lecture 4	Image statistics I	Slides: ppt | pdf
Lecture 5	Image statistics II	Slides: ppt | pdf
Lecture 6	Color	Slides: keynote | pdf
Lecture 7	Texture	Slides: ppt | pdf
Lecture 8	Edge and Segmentation	Slides: ppt | pdf
Lecture 9	Image Formulation Models	Slides: ppt | pdf
Lecture 10	Image Formulation Models	Slides: ppt | pdf
Lecture 11	Shape from X	Slides: ppt | pdf
Lecture 12	Image features	Slides: ppt | pdf
Lecture 13	Homographies and RANSAC	Slides: ppt | pdf
Lecture 14	Multi-view 3D Reconstruction	Slides: ppt | pdf
Lecture 15	Markov Random Field	Lecture notes Slides: pdf
Lecture 16	Motion I	Slides: pdf
Lecture 17	Motion II	Slides: pdf
Lecture 18	Object Recognition I	Slides: ppt
Lecture 19	Object Recognition II	Slides: ppt | pdf
Lecture 20	Object Recognition III	Slides: ppt | pdf
Lecture 21	Object Recognition V	Slides: ppt | pdf
Lecture 22	Scene Understanding	Slides: ppt | pdf
Lecture 23	Scene Understanding	Slides: ppt | pdf

 

Books

Computer vision:

• [Sz] Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010 (online draft)
• [HZ] Hartley and Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2004
• [FP] Forsyth and Ponce, Computer Vision: A Modern Approach, Prentice Hall, 2002
• [Pa] Palmer, Vision Science, MIT Press, 1999

Learning:

• [Mi] Mitchel, Machine Learning, McGraw-Hill, 1997
• [DHS] Duda, Hart and Stork, Pattern Classification (2nd Edition), Wiley-Interscience, 2000

Graphical models:

• [KF] Koller and Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009

Resources

Related courses:

• Introduction to Computer Vision, by Michael Black
• Learning-Based Methods in Vision, by Alyosha Efros
• Computer Vision, by Kristen Grauman
• Computer Vision, by Rob Fergus
• Introduction to Computer Vision, by Fei-Fei Li

Other resources:

• The Computer Vision Industry

Code and Datasets

MATLAB:

• MATLAB documentation
• File Exchange
• Code Vectorization Guide
• Writing Fast MATLAB code
• MATLAB array manipulation tips and tricks

Links to useful code and data:

• SUN database
• SUN360 panorama database
• Scene Classification Benchmark
• The Steerable Pyramid
• DrawMe: a light-weight Javascript library for line drawing on a picture.
• Structural SVM
• Template Matching
• Representation and Synthesis of Visual Texture, Portilla & Simoncelli
• Berkeley Segmentation
• Pb
• Superpixels
• Structure from Motion for Unordered Image Collections
• Peter Kovesi's Functions for Computer Vision
• SIFT implementation by Andrea Vedaldi
• Affine Covariant Features
• A simple object detector with boosting
• OpenCV

Other useful code:

• Code for downloading Flickr images

Songs

• The Fundamental Matrix Song
• The RANSAC Song