計算機視覺CV領域大牛及研究組主頁連結
牛人主頁(主頁有很多論文程式碼)
Ce Liu atMicrosoft Research New England
Devi Parikh at TTI-Chicago (MarrPrize at ICCV2011)
John Wright atColumbia Univ.
David Ross atGoogle/Youtube
相關領域:
大神們:
David Lowe atUniv. of British Columbia
Mubarak Shah at Univ. of Central Florida
Yi Ma atMSRA
重要研究組:
LEAR atINRIA
ComputerVision Lab at Univ. of Southern California
潛力牛人:
Matt Flagg atGeorgia Tech.
Yinan Yu atCASIA (PASCAL VOC 2010 Detection Challenge Winner)
(93)CMU博士田淵棟:http://www.cs.cmu.edu/~yuandong/
(94)CMU副教授Srinivasa Narasimhan:http://www.cs.cmu.edu/~srinivas/
(95)CMU
(96)哥倫比亞大學教授Sheer K.Nayar:http://www.cs.columbia.edu/~nayar/
(97)三菱電子研究院研究員Fatih Porikli :http://www.porikli.com/
(98)康奈爾大學教授Daniel Huttenlocher:http://www.cs.cornell.edu/~dph/
(99)南京大學教授周志華:http://cs.nju.edu.cn/zhouzh/index.htm
(100)芝加哥豐田技術研究所助理教授Devi Parikh:http://ttic.uchicago.edu/~dparikh/index.html
(101)
Machine LearningOpen Source Software:
· Matlab Codefor Graph EmbeddingDiscriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching (CVPR),2011.
· Matlab Codefor Optimal Local Basis: AReinforcement Learning Approach for Face Recognition(IJCV), vol. 81,no. 2, pp. 191-204, 2009.
牛人bolg:
CVonline
李子青的大作:
Markov Random Field Modeling in Computer Vision
Handbook of Face Recognition (PDF)
張正友的有關引數魯棒估計著作:
Parameter Estimation Techniques:A Tutorial with Application to Conic Fitting
Andrea Fusiello“計算機視覺中的幾何”教程:Elements of Geometric Computer Vision
有關馬爾可夫蒙特卡羅方法的資料:
An introduction to Markov chain Monte Carlo
Markov Chain Monte Carlo for Computer Vision--- A tutorial at ICCV05
有關獨立成分分析(Independent Component Analysis , ICA)的資料:
An ICA-Page
Fast ICA
The Kalman Filter (介紹卡爾曼濾波器的終極網頁)
Cached k-d tree search for ICP algorithms
幾個計算機視覺研究工具
Machine Vision Toolbox for Matlab
Matlab and Octave Function for Computer Vision and Image Processing
Bayes Net Toolbox for Matlab
OpenCV (Chinese)
Gandalf (A Computer Vision and Numerical Algorithm Labrary)
CMU Computer Vision Home Page
Machine Learning Resource Links
The Bayesian Filtering Library
Optical Flow Algorithm Evaluation (提供了一個動態貝葉斯網路框架,例如遞迴資訊處理與分析、卡爾曼濾波、粒子濾波、序列蒙特卡羅方法等,C++寫的)
MATLAB code for ICP algorithm
牛人主頁:
朱鬆純 (Song-Chun Zhu)
David Lowe (SIFT) (很帥的一個老頭哦 ^ ^)
Andrea Vedaldi (SIFT)
Pedro F. Felzenszwalb
Dougla Dlanman (Brown的一個研究生,在其主頁上搜集了大量演算法教程和原始碼)
Jianbo Shi (Ncuts 的始作俑者)
Active Vision Group (Oxford的一個機器視覺研究團隊,特色是SLAM,監視,導航)
Middlebury College‘s Stereo Vision Data Set
Intelligent Vehicle:
IVSource
Robot Car
How to Build a Robot: The Computer Vision Part
收集的一般牛人主頁(帶程式碼):
Xiaofei He(machine learning code)
YingNian Wu(active base model code)
布朗大學計算機主頁(可找到該校CS牛人部落格)
Navneet Dalal(Histograms of Oriented Gradients for Human Detection )
Paul Viola(Robust Real-timeObject Detection)