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References
Computer Vision
Tutorials
Courses
Code
Photography
Learning and Inference
code
Computation Theory
Optimization
Graph Theory
Psychophysics
Other
References
My Google Library
MIT Open Courseware
- A vast array of online course material, including video lectures and transcripts
Make sure to visit
Variable Speed Lectures
using
VLC
EECS
courses
freepatentsonline
Computer Vision
Seeing: The Computational Approach to Biological Vision
- Frisby and Stone, Second Edition 2010
Computer Vision: Algorithms and Applications
- Rick Szeliski. The ultimate computer vision survey
Animal Eyes
- Land & Nilsson
Tutorials
Active Learning
- Burr Settles, 2010
PCA
- Lindsay I Smith, 2002
Gamma correction
- Alvy Ray Smith
EM
- Andrew Ng
Steerable Filters
- David Heeger, 1998
Graphical Models
- Michael Jordan, Yair Weiss
SIFT
Projective geometry
Vanishing points
Some Notes on Unit Quaternions and Rotation
- Berthold K.P. Horn, 2001
Courses
Image Understanding
- David Lowe, UBC 2010
Computational Photography
- Rob Fergus, NYU
Computer Vision
- Rob Fergus, NYU
Advances in Computer Vision
- Antonio Torralba,
MIT
2010
Intro to Computer Vision
- Fei-Fei Li, Stanford 2009
Intro to Computer Vision
- Michael Black, Brown 2009
Computational Photography
- Yacov Hel-Or, IDC 2009
Image Processing
- Advanced topics seminar, Yacov Hel-Or, IDC 2008
Learning-Based Methods in Vision
- Alyosha Efros, CMU 2007
Code
MoCA
Project
- Movie content analysis
Computer Vision Source Code @ CMU
MRF minimization
Computer Vision @ Western
KLT Tracker
A simple object detector with boosting
- Antonio Torralba, ICCV 2005 short course
Pyramid toolbox, steerable filters
- Eero Simoncelli
Peter Kovesi's functions for computer vision
SIFT -
1
,
2
OpenCV
- Computer Vision library with many useful implementations
Documentation
Introduction to programming with OpenCV
Kinect
OpenKinect
Windows Installation
OpenNI
. Setup and installation @
ROS
KinectHacks.net
Photography
Lens Genealogy
Learning and Inference
The Elements of Statistical Learning
- Hastie, Tibshirani, Friedman, SE 2009
Probabilistic Graphical Models: Principles and Techniques
- Koller, Friedman, 2010
code
Software Packages for Graphical Models / Bayesian Networks
- Maintained by Kevin Murphy (Last updated: 2010)
HMM Toolbox for Matlab
- Kevin Murphy (Last updated: 2005)
Computation Theory
Computational Complexity: A Modern Approach
- Arora and Barak, 2009
[online draft]
Introduction to the Theory of Computation
- Michael Sipser
Randomized Methods in Computation
- Lecture notes by Oded Goldreich
Optimization
Convex Optimization
– Boyd and Vandenberghe
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
- Shewchuk, 1994
Graph Theory
Spectral Graph Theory and its Applications
- A course by Dan Spielman
A good introductory survey
Spectral Graph Theory
- Fan R. K. Chung, 1997 (
Limited Preview
)
Eigenspaces of Graphs
- Dragos Cvetkovic, Peter Rowlinson, Slobodan Simic, 1997
Psychophysics
The Method of Paired Comparisons
- H. A. David, 1988 (2nd edition)
Psychophysics: The Fundamentals
- George A. Gescheider, 3rd edition 1997 (
Limited Preview
)
Other
Why Buildings Fall Down
- Levi, Salvadori, and
Why Buildings Stand Up
- Salvadori
references.txt · Last modified: 2011/12/08 12:29 by miki
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