Machine Vision online resources

Source: Internet
Author: User

The following content is reprinted in http://jackchongsun.blog.163.com/blog/static/407160720073484149763/
CVonline

Http://homepages.inf.ed.ac.uk/rbf/CVonline

Http://homepages.inf.ed.ac.uk/rbf/CVonline/unfolded.htm

Http://homepages.inf.ed.ac.uk/rbf/CVonline/CVentry.htm

Masterpiece of Li Ziqing:

Markov Random Field Modeling in Computer Vision

Http://www.cbsr.ia.ac.cn/users/szli/mrf_book/book.html

Handbook of Face Recognition (PDF)

Http://www.umiacs.umd.edu /~ Shaohua/papers/zhou04hfr.pdf

Zhang zhengyou's book on Parameter robust estimation:

Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting

Http://research.microsoft.com /~ Zhang/INRIA/Publis/Tutorial-Estim/Main.html

Andrea Fusiello "ry in Computer Vision" Tutorial: Elements of Geometric Computer Vision

Http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007

Documents about the Markov Monte Carlo method:

An Introduction to Markov Chain Monte Carlo

Http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/SENEGAS/mcmc.html

Markov Chain Monte Carlo for Computer Vision --- a tutorial at iccv05

Http://civs.stat.ucla.edu/MCMC/MCMC_tutorial.htm

Information about independent component analysis (ICA:

An ICA-page

Http://www.cnl.salk.edu /~ Tony/ica.html

Fast ICA

Http://www.cis.hut.fi/projects/ica/fastica/

The Kalman Filter (introduction to the ultimate web page of Kalman Filter)
Http://www.cs.unc.edu /~ Welch/Kalman/index.html

Cached K-D tree search for ICP Algorithms

Http://kos.informatik.uni-osnabrueck.de/download/3dim2007/paper.html

Several computer vision research tools

Machine Vision Toolbox for Matlab

Http://www.petercorke.com/Machine%20Vision%20Toolbox.html

Matlab and Octave Function for Computer Vision and Image Processing

Http://www.csse.uwa.edu.au /~ Pk/research/maid/

Bayes Net Toolbox for Matlab

Http://www.cs.ubc.ca /~ Murphyk/Software/BNT/bnt.html

OpenCV (Chinese)

Http://www.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5

Gandalf (A Computer Vision and Numerical Algorithm Labrary)

Http://gandalf-library.sourceforge.net/

CMU Computer Vision Home Page

Http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html

Machine Learning Resource links

Http://www.cse.ust.hk /~ Ivor/resource.htm

The Bayesian filtering Library

Http://www.orocos.org/bfl

Optical Flow Algorithm evaluation (it provides a dynamic Bayesian network framework, such as recursive information processing and analysis, Kalman filter, particle filter, sequential Monte Carlo method, etc., written in C ++)

Http://of-eval.sourceforge.net/

Matlab code for ICP Algorithm

Http://www.usenet.com/newsgroups/comp.graphics.visualization/msg00102.html

Niu Ren homepage:

Zhu songchun (Song-chun Zhu)

Http://www.stat.ucla.edu /~ Sczhu/

David Lowe (SIFT) (a handsome old man ^)

Http://www.cs.ubc.ca /~ Lowe/

Andrea vedaldi (SIFT)

Http://vision.ucla.edu /~ Vedaldi/index.html

Pedro F. Felzenszwalb

Http://people.cs.uchicago.edu /~ Pff/

Dougla Dlanman (a Brown graduate student, who has collected a lot of algorithm tutorials and source code on his homepage)

Http://mesh.brown.edu/dlanman/courses.html

Jianbo Shi (the initiator of Ncuts)

Http://www.cis.upenn.edu /~ Jshi/

Active Vision Group (an Oxford machine Vision research team featuring SLAM, monitoring, navigation)

Http://www.robots.ox.ac.uk/ActiveVision/index.html

Juyang Weng (Autonomous Mental Development is a machine learning expert)

Http://www.cse.msu.edu /~ Weng/

Test image or video:

Middlebury College's Stereo Vision Data Set

Http://cat.middlebury.edu/stereo/data.html

Intelligent Vehicle:

IVSource

Www.ivsoruce.net

Robot Car

Http://www.plyojump.com/robot_cars.html

How to Build a Robot: The Computer Vision Part

Http://www.societyofrobots.com/programming_computer_vision_tutorial.shtml

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.