下面是前端時間蒐集整理的一些和計算機視覺、模式識別的資源,拿出來與大家分享下。
標題 |
作者 |
主題 |
關鍵字 |
類別 |
來源 |
備註 |
nipsfast.ppt |
Nando de Freitas |
N-Body problems in learning |
Fast N-Body Learning |
Ppt |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
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nipsfgtf.ppt |
Fast Multipole Methods Fast Gaussian Transform |
FM and FGT |
ppt |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
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Gray.pdf/ppt |
Alex Gray |
Statistical N-Body/Proximity Data Structures |
N-Body and Data Structures |
Ppt/pdf |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
|
dt-nips04.pdf/ppt |
Dan Huttenlocher |
Fast Distance Transforms |
FDT |
Ppt/pdf |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
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High.pdf/ppt |
Alexander Gray |
Fast high-dimensional function integration |
Fast integration |
Ppt/pdf |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
|
Fast04.pdf/ppt |
David Lowe |
Fast high-dimensional feature indexing for object recognition |
Feature indexing |
Ppt/pdf |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
|
ihler-fast.pdf/ppt |
Alexander lhler |
Fast methods and non-parametric BP |
Non-parametric BP |
Ppt/pdf |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
|
fastview.pdf |
Dustin Lang |
Comparing fast methods |
Overview fast methods |
|
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
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nbody_methods.tar.gz |
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code |
http://www.cs.ubc.ca/~awll/nbody_methods.html |
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demo_rbpf_gauss.tar |
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Rao Blackwellised particle filtering for conditionally Gaussian Models |
particle filtering for conditionally |
code |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
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demorbpfdbn.tar.gz |
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Rao Blackwellised Particle Filtering |
|
code |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html http://www.cs.ubc.ca/~nando/software.html |
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upf_demos.tar.gz |
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Unscented Particle Filter |
Particle Filter |
code |
http://www.cs.ubc.ca/~nando/nipsfast/schedule.html |
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BPF_1_3.zip |
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Boosted Particle Filter |
Tracking |
code |
http://www.cs.ubc.ca/~okumak/research.html |
1 |
flyer_14_800.mpg |
|
Source image |
Database |
Image |
http://www.cs.ubc.ca/~okumak/research.html |
1 |
trans_flyer_14_800.mpg |
|
image transformed |
Database |
Image |
http://www.cs.ubc.ca/~okumak/research.html |
1 |
LBP.c/h |
Topi Mäenpää |
LBP operator |
Texture |
code |
http://www.ee.oulu.fi/~topiolli/cpplibs/files/ |
|
calibr_v30.zip |
|
Camera Calibration |
Computer vision |
code |
http://www.ee.oulu.fi/mvg/page/camera_calibration _toolbox_for_matlab |
2 |
|
LEAR(Learning and Recognition in Vision |
Common dataset |
Human/car horse soccer human actions |
dataset |
http://lear.inrialpes.fr/data |
3 |
Lic.zip/highlight.zip |
Robby T. Tan |
Color Constancy Through Inverse Intensity Chromaticity Space |
Highlight Removal from single image |
code |
http://www.commsp.ee.ic.ac.uk/~rtan/ |
|
2008_oxford_fog.pdf |
Robby T. Tan |
Defog |
Defog from single |
|
http://www.commsp.ee.ic.ac.uk/~rtan/ |
|
08_cvpr.pdf |
Robby T. Tan |
Defog |
Defog from single |
|
http://www.commsp.ee.ic.ac.uk/~rtan/ |
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Retinex_frankle_mccann |
|
Retinex |
|
Code |
http://www.cs.sfu.ca/~colour/publications/IST-2000/ |
Some |
Retinex_maccann99 |
|
Retinex |
|
code |
http://www.cs.sfu.ca/~colour/publications/IST-2000/ |
pictures |
Gamut.tar.bz2 |
|
Retinex |
|
code |
http://kobus.ca/research/programs/colour_constancy/index.html |
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Video.avi/dehaze.m |
|
dehazing |
Raanan Fattal |
code |
http://www.cs.huji.ac.il/~raananf/projects/defog/index.html |
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MPTK-Windows-bin-0-5-6-beta.zip |
Matching pursuit(MP) |
Alogrithm |
CNRS |
Code |
http://mptk.irisa.fr/downloads |
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generateDictionaries.txt |
GenerateGabor |
Alogrithm |
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code |
http://www.scholarpedia.org/article/Matching_pursuit |
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Notes:
1. 視頻和源碼都是對應的文章的:
Kenji Okuma, Ali Taleghani, Nando De Freitas, Jim Little, David G. Lowe. Boosted Particle Filter: Multitarget Detection and Tracking. the European Conference on Computer Vision(ECCV), May 2004.
2. 該網站下面還有其他一些資源可以下載:
http://www.ee.oulu.fi/mvg/page/downloads
是個研究組織:http://lear.inrialpes.fr/ , 除此之外,還有一些源碼。
計算機視覺文獻與代碼資源
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
李子青的大作:
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
張正友的有關參數魯棒估計著作:
Parameter Estimation Techniques:A Tutorial with Application to Conic Fitting
http://research.microsoft.com/~zhang/INRIA/Publis/Tutorial-Estim/Main.html
Andrea Fusiello“計算機視覺中的幾何”教程:Elements
of Geometric Computer Vision
http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007
有關馬爾可夫蒙特卡羅方法的資料:
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
有關獨立成分分析(Independent Component Analysis , ICA)的資料:
An ICA-Page
http://www.cnl.salk.edu/~tony/ica.html
Fast ICA
http://www.cis.hut.fi/projects/ica/fastica/
The Kalman Filter (介紹卡爾曼濾波器的終極網頁)
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
幾個計算機視覺研究工具
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/matlabfns/
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
Optical Flow Algorithm Evaluation (提供了一個動態貝葉斯網絡框架,例如遞歸信息處理與分析、卡爾曼濾波、粒子濾波、序列蒙特卡羅方法等,C++寫的)
http://of-eval.sourceforge.net/
MATLAB code for ICP algorithm
http://www.usenet.com/newsgroups/comp.graphics.visualization/msg00102.html
牛人主頁:
朱鬆純 (Song-Chun Zhu)
http://www.stat.ucla.edu/~sczhu/
David Lowe (SIFT) (很帥的一個老頭哦 ^ ^)
Andrea Vedaldi (SIFT)
http://vision.ucla.edu/~vedaldi/index.html
Pedro F. Felzenszwalb
http://people.cs.uchicago.edu/~pff/
Dougla Dlanman (Brown的一個研究生,在其主頁上搜集了大量算法教程和源碼)
http://mesh.brown.edu/dlanman/courses.html
Jianbo Shi (Ncuts 的始作俑者)
http://www.cis.upenn.edu/~jshi/
Active Vision Group (Oxford的一個機器視覺研究團隊,特色是SLAM,監視,導航)
http://www.robots.ox.ac.uk/ActiveVision/index.html
Juyang Weng(機器學習的專家,Autonomous Mental Development 是其特色)
測試圖片或視頻:
Middlebury College‘s Stereo Vision Data Set
http://cat.middlebury.edu/stereo/data.html
Intelligent Vehicle:
IVSource
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
計算機視覺應關注的資源 |
來自美國帝騰大學的鏈接。 Camera Calibration Links to toolboxes (mostly MATLAB) for camera calibration. Paul Debevec. Modeling and Rendering Architecture from Photographs. Marc Pollefeys, Tutorial
on 3D Modeling from Images,, ECCV 2000, Available here: notes (12.1MB pdf) Richard Szeliski NIPS
2004 Tutorial on Acquiring Detailed 3D Models From Images and Video, Available here: slides (37.6 MB, ppt) Peter Corke did
his thesis work on visual servoing for robot applications and has authored a robotics toolkit and vision toolkit for MATLAB. local copy of thesis: Corke
thesis (4.36 MB, pdf) P. D. Kovesi., MATLAB
Functions for Computer Vision and Image Analysis. Philip Torr, among
many other contributions, submitted a Structure and motion toolkit in Matlab to the MathSoft File Exhange. |