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機器視覺資料彙總(1)

做機器視覺和影象處理方面的研究工作,最重要的兩個問題:其一是要把握住國際上最前沿的內容;其二是所作工作要具備很高的實用背景。解決第一個問題的辦法就是找出這個方向公認最高成就的幾個超級專家(看看他們都在作什麼)和最權威的出版物(閱讀上面最新的文獻),解決第二個問題的辦法是你最好能夠找到一個實際應用的專案,邊做邊寫文章。 做好這幾點的途徑之一就是利用網路資源,利用權威網站和專家們的個人主頁。 

依照下面目錄整理:
[1]研究群體(國際國內)[2]專家主頁[3]前沿國際國內期刊與會議[4]搜尋資源[5]GPL軟體資源 

一、研究群體
用來搜尋國際知名計算機視覺研究組(CV Groups): 
國際計算機視覺研究組清單http://peipa.essex.ac.uk/info/groups.html 
美國計算機視覺研究組清單 http://peipa.essex.ac.uk/info/groups.html#USA 


http://www-2.cs.cmu.edu/~cil/vision.html或 http://www.cs.cmu.edu/~cil/vision.html 
這是卡奈基梅隆大學的計算機視覺研究組的主頁,上面提供很全的資料,從發表文章的下載到演示程式、測試影象、常用連結、相關軟硬體,甚至還有一個搜尋引擎。著名的有人物Tomasi, Kanade等。 
卡內基梅隆大學雙目實驗室http://vision.middlebury.edu/stereo/ 
卡內基梅隆研究組http://www.cs.cmu.edu/~cil/v-groups.html 
還有幾個實驗室:
Calibrated Imaging Laboratory 影象 
Digital Mapping Laboratory 對映 
Interactive Systems Laboratory 互動 
Vision and Autonomous Systems Center視覺自適應 


http://www.via.cornell.edu/ 
康奈爾大學的計算機視覺和影象分析研究組,好像是電子和計算機工程系的。側重醫學方面的研究,但是在上面有相當不錯資源,關鍵是它正在建設中,能夠跟蹤一些資訊。
Cornell University——Robotics and Vision group


http://www-cs-students.stanford.edu/ 斯坦福大學計算機系主頁
1. http://white.stanford.edu/ 
2. http://vision.stanford.edu/ 
3. http://ai.stanford.edu/美國斯坦福大學人工智慧機器人實驗室
The Stanford AI Lab (SAIL) is the intellectual home for researchers in the Stanford Computer Science Department whose primary research focus is Artificial Intelligence. The lab is located in the Gates...
Vision and Imaging Science and Technology


http://www.fmrib.ox.ac.uk/analysis/ 
主要研究:Brain Extraction Tool, Nonlinear noise reduction, Linear Image Registration, Automated Segmentation, Structural brain change analysis, motion correction, etc. 


http://www.cse.msu.edu/prip/—密歇根州立大學計算機和電子工程系的模式識別--影象處理研究組,它的FTP上有許多的文章(NEW)。 
美國密歇根州大學認知模型和影象處理實驗室
The Pattern Recognition and Image Processing (PRIP) Lab faculty and students investigate the use of machines to recognize patterns or objects. Methods are developed to sense objects, to discover which...http://www.cse.msu.edu/rgroups/prip/ 


http://pandora.inf.uni-jena.de/p/e/index.html 
德國的一個數字影象處理研究小組,在其上面能找到一些不錯的連結資源。
柏林大學 http://www.cv.tu-berlin.de/ 


德國波恩大學視覺和認識模型小組
Computer Vision Group located within the Division III of the Computer Science Department in the University of Bonn in Germany. This server offers information on topics concerning our computer vision http://www-dbv.informatik.uni-bonn.de/ 


http://www-staff.it.uts.edu.au/~sean/CVCC.dir/home.html 
CVIP(used to be CVCC for Computer Vision and Cluster Computing) is a research group focusing on cluster-based computer vision within the Spiral Architecture.


http://cfia.gmu.edu/ 
The mission of the Center for Image Analysis is to foster multi-disciplinary research in image, multimedia and related technologies by establishing links between academic institutes, industry and government agencies, and to transfer key technologies to help industry build next generation commercial and military imaging and multimedia systems. 


英國的Bristol大學的Digital Media Group在高階圖形影象方面不錯。主要就是涉及到場景中光線計算的問題,比如用全域性光照或是各種區域性光照對高動態圖的處理,還有近似真實的模擬現實環境 (照片級別的),還有用幾張照片來建立3D模型(人頭之類的)。另外也有對古代建築模型復原。http://www.cs.bristol.ac.uk/Research/Digitalmedia/ 
而且根據Times全英計算機排名在第3, 也算比較頂尖的研究了 


http://www.cmis.csiro.au/IAP/zimage.htm 
這是一個側重影象分析的站點,一般。但是提供一個Image Analysis環境---ZIMAGE and SZIMAGE。 


麻省理工視覺實驗室MIT http://groups.csail.mit.edu/vision/welcome/ 
AI Laboratory Computer Vision group
Center for Biological and Computational Learning
Media Laboratory, Vision and Modeling Group 
Perceptual Science group


UC Berkeley http://0-vision.berkeley.edu.ilstest.lib.neu.edu/vsp/index.html 
http://www.cs.berkeley.edu.ilste ... n/vision_group.html 
加州大學伯克利分校視覺實驗室David A. Forsyth:http://www.cs.berkeley.edu/~daf/ 


UCLA(加州大學洛杉磯分校) http://vision.ucla.edu/ 視覺實驗室


英國牛津的A.Zisserman:http://www.robots.ox.ac.uk/~az/ 機器人實驗室


美國南加州大學智慧機器人和智慧系統研究所University of Southern California, Los Angeles 
IRIS is an interdepartmental unit of USC's School of Engineering with ties to USC's Information Sciences Institute (ISI). Members include faculty, graduate students, and research staff associated with... http://iris.usc.edu/ Computer Vision 實驗室 
美國南加州大學計算機視覺實驗室介紹:
Computer Vision Laboratory at the University of Southern California is one of the major centers of computer vision research for thirty years. they conduct research in a number of basic and applied are...http://iris.usc.edu/USC-Computer-Vision.html 


英國約克大學高階計算機結構神經網路小組
The Advanced Computer Architecture Group has had a thriving research programme in neural networks for over 10 years. The 15 researchers, led by Jim Austin, focus their work in the theory and applicati...http://www.cs.york.ac.uk/arch/neural/ 


瑞士戴爾莫爾感知人工智慧研究所
IDIAP is a research institute established in Martigny in the Swiss Alps since 1991. Active in the areas of multimodal interaction and multimedia information management, the institute is also the leade...http://www.idiap.ch/ 


英國薩里大學視覺,語言和訊號處理中心
The Centre for Vision, Speech and Signal Processing (CVSSP) is more than 60 members strong, comprising 12 academic staff, 18 research fellows and more than 44 research students. The activities of the ...http://www.ee.surrey.ac.uk/Research/VSSP/ 


美國阿默斯特馬薩諸塞州立大學計算機視覺實驗室
The Computer Vision Laboratory was established in the Computer Science Department at the University of Massachusetts in 1974 with the goal of investigating the scientific principles underlying the con...http://vis-www.cs.umass.edu 
University of Massachusetts——Computer Vision Laboratory for Perceptual Robotics


美國芝加哥伊利諾伊斯大學貝克曼研究中心智慧機器人和計算機視覺實驗室
Includes the following groups: Professor Seth Hutchinson's Research Group Professor David Kriegman's Research Group Professor Jean Ponce's Research Group Professor Narendra Ahuja's Research Gro...http://www-cvr.ai.uiuc.edu/ 
Computer Vision and Robotics Laboratory
Vision Interfaces and Systems Laboratory (VISLab)


英國伯明翰大學電腦科學學校視覺研究小組
The vision group at the School of Computer Science (a RAE 5 rated department) performs research into a wide variety of computer vision and image understanding areas. Much of this work is performed in ...http://www.cs.bham.ac.uk/research/vision/ 


微軟研究院機器學習與理解研究小組 / 計算機視覺小組 
The research group focuses on the development of more advanced and intelligent computer systems through the exploitation of statistical methods in machine learning and computer vision. The site lists ...http://research.microsoft.com/mlp/ 
http://research.microsoft.com/en-us/groups/vision/ 
微軟公司的文獻:http://research.microsoft.com/research/pubs 
微軟亞洲研究院:http://research.microsoft.com/asia/,值得關注Harry Shum, Jian Sun, Steven Lin, Long Quan(兼職HKUST)etc. 


瑞典隆德大學數學系視覺組:http://www.maths.lth.se/matematiklth/personal/andersp/ 
感覺國外搞視覺的好多是數學系出身,大約做計算機視覺對數學要求很高吧。


澳大利亞國立大學:http://users.rsise.anu.edu.au/~hartley/ 


美國北卡大學:http://www.cs.unc.edu/~marc/ 


法國INRIA:http://www-sop.inria.fr/odyssee/team/ 由Olivier.Faugeras領銜的牛人眾多。 


比利時魯汶大學的L.Van Gool: www.esat.kuleuven.ac.be/psi/visics/ 
據說在這個只有中國一個小鎮大小的地方的魯汶大學在歐洲排行top10,名列世界top100,還出了幾個諾貝爾獎,視覺研究也很強. 


美國明德http://vision.middlebury.edu/stereo/ 


以下含有非頂尖美國學校研究組,沒有連結(個別的上面已經提到),供參考。 
Amerinex Applied Imaging, Inc. 


Boston University
Image and Video Computing Research group


University of California at Santa Barbara加州大學芭芭拉分校 
Vision Research Lab


University of California at San Diego加州大學聖迭戈分校 
Computer Vision & Robotics Research Laboratory
Visual Computing laboratory


University of California at Irvine加州大學歐文分校,加州南部一城,在聖安娜東南, 
Computer Vision laboratory


University of California, Riverside加州大學河濱分校 
Visualization and Intelligent Systems Laboratory (VISLab)


University of California at Santa Cruz
Perceptual Science Laboratory


Caltech (加州理工) 
Vision group


University of Central Florida
Computer Vision laboratory


University of Florida
Center for Computer Vision and Visualization


Colorado State University
Computer Vision group


Columbia University
Automated Vision Environment (CAVE)
Robotics group


University of Georgia, Athens 
Visual and Parallel Computing Laboratory


Harvard University(哈佛) 
Robotics Laboratory


University of Illinois at Urbana-Champaign
Robotics and Computer Vision


University of Iowa
Division of Physiologic Imaging


Jet Propulsion Laboratory
Machine Vision and Tracking Sensors group


Khoral Research, Inc 


Lawrence Berkeley Laboratories
Imaging and Collaborative Computing Group
Imaging and Distributed Computing


Lehigh University
Image Processing and Pattern Analysis Lab
Vision And Software Technology Laboratory


University of Louisville
Computer Vision and Image Processing Lab


University of Maryland
Computer Vision Laboratory


University of Miami
Underwater Vision and Imaging Laboratory


University of Michigan密歇根 
AI Laboratory


Michigan State University 密歇根州立 
Pattern Recognition and Image Processing laboratory


Environmental Research Institute of Michigan (ERIM) 密歇根大學有汽車車身檢測研究 


University of Missouri-Columbia
Computational Intelligence Research Laboratory


NEC
Computer Vision and Image Processing


University of Nevada
Computer Vision Laboratory


Notre-Dame University
Vision-Based Robotics using Estimation


Ohio State University
Signal Analysis and Machine Perception Laboratory


University of Pennsylvania
GRASP laboratory
Medical Image Processing group
Vision Analysis and Simulation Technologies (VAST) Laboratory


Penn State University 賓夕法尼亞大學 
Computer Vision
Precision Digital Images


Purdue University普渡大學 
Robot Vision laboratory
Video and Image Processing Laboratory (VIPER)


Rensselaer Polytechnic Institute (RPI)
Computer Science Vision


University of Rochester
Center for Electronic Imaging Systems
Vision and Robotics laboratory


Rutgers University (The State University of New Jersey)
Image Understanding Lab


University of Southern California
Computer Vision


University of South Florida
Image Analysis Research group


Stanford Research Institute International (SRI)
RADIUS -- Research and Development for Image Understanding Systems
The Perception program at SRI's AI Center


SUNY at Stony Brook
Computer Vision Lab


University of Tennessee
Imaging, Robotics and Intelligent Systems laboratory 


University of Texas, Austin 
Laboratory for Vision Systems


University of Utah
Center for Scientific Computing and Imaging
Robotics and Computer Vision


University of Virginia
Computer Vision Research (CS)


University of Washington
Image Computing Systems Laboratory
Information Processing Laboratory
CVIA Laboratory


University of West Florida
Image Analysis/Robotics Research Laboratory


University of Wisconsin
Computer Vision group


Vanderbilt University
Center for Intelligent Systems


Washington State University
Imaging Research laboratory


Wright-Patterson
Model-Based Vision laboratory


Wright State University
Intelligent Systems Laboratory


University of Wyoming
Wyoming Image and Signal Processing Research (WISPR)


Yale University
Computational Vision Group http://www.cs.yale.edu/ 
School of Medicine, Image Processing and Analysis group 


國內:
中科院模式識別國家重點實驗室 http://www.nlpr.ia.ac.cn/English/rv/mainpage.html 
虹膜識別、掌紋識別、人臉識別、
蓮花山http://www.stat.ucla.edu/~sczhu/Lotus/ 
天津大學精密測試技術及儀器國家重點實驗室
研究方向包括:鐳射及光電測試技術、感測及測量資訊科技、微納測試與製造技術、製造質量控制技術。該實驗室是國內精密測試領域惟一的國家重點實驗室。
“智慧微系統及其整合應用技術”、“微結構光學測試技術”、“油氣儲運安全檢測技術”、“先進製造中的視覺測量及其關鍵技術”、“正交偏振鐳射器原理、特性及其在精密計量中的應用研究”等5項代表性成果(07.3)。 


中科院長春光機所 http://www.ciomp.ac.cn/ny/keyan.asp 


中科院瀋陽自動化所http://www.sia.ac.cn/index.php 


中科院西安光機所http://www.opt.ac.cn/yanjiushi/gpcxjs1.htm 


北京大學智慧科學系http://www.cis.pku.edu.cn/vision/vision.htm 
三維視覺計算與機器人,生物特徵識別與影象識別




二、專家網頁
http://www.ai.mit.edu/people/wtf/ 
這位可是MIT人工智慧實驗室的BILL FREEMAN。專長是:理解--貝葉斯模型。 


http://www.merl.com/people/brand/ 
MERL(Mitsubishi Electric Research Laboratory)中的擅長“Style Machine”。 


http://research.microsoft.com/~ablake/ 
CV界極有聲望的A.Blake 1977年畢業於劍橋大學三一學院並或數學與電子科學學士學位。之後在MIT,Edinburgh,Oxford先後組建過研究小組併成為Oxford的教授,直到1999年進入微軟劍橋研究中心。主要工作領域是計算機視覺。 


http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/har/Web/home.html 
這位專家好像正在學習漢語,主頁並且蒐集了諸如“兩隻老虎(Two Tigers)”的歌曲。 
他的主頁上面還有幾個專家:Shumeet Baluja, Takeo Kanade。他們的Face Detection作的絕對是世界一流。畢業於卡奈基梅隆大學的計算機科學系,興趣是計算機視覺。 


 


三、前沿國際國內期刊與會議
這裡的期刊大部分都可以通過上面的專家們的主頁間接找到
1.國際會議 2.國際期刊 3.國內期刊 4.神經網路 5.CV 6.數字圖象 7.教育資源,大學 8.常見問題 
1. 國際會議 
現在,國際上計算機視覺方面的三大國際會議是ICCV, CVPR和ECCV,統稱之為ICE。 
ICCV的全稱是International Comference on Computer Vision。ICCV兩年一次,與ECCV正好錯開,是公認的三個會議中級別最高的。 


ECCV的全稱是Europeon Conference on Computer Vision,是一個歐洲的會議。 


CVPR的全稱是Internaltional Conference on Computer Vision and Pattern Recogintion國際計算機視覺與模式識別會議。這是一個一年一次的會議,舉辦地在美國。 
ICIP—
BMVC—
MVA—
國際模式識別會議(ICPR ): 
亞洲計算機視覺會議(ACCV): 
2.國際期刊 
以計算機視覺為主要內容之一的國際刊物也有很多,如: 
International Journal of Computer Vision
IEEE Trans. On PAMI http://www.computer.org/tpami/index.htm 
IEEE Transactionson Image Processing http://www.ieee.org/organizations/pubs/transactions/tip.htm 
Pattern Recognition http://www.elsevier.com/locate/issn/00313203 
Pattern Recognition Letters http://www.elsevier.com/locate/issn/01678655 
IEEE Trans. on Robotics and Automation, 
IEEE TPAMI
IEEE TIP
CVGIP Computer Vision. Graphics and Image Processing, 
Visual Image Computing, 
IJPRAI(Internatiorial Journat of Pattern Recognition and Artificial Intelligence)


眾所周知, computer vision(cv) 存在ICCV/CVPR/ECCV三個頂級會議,它們檔次差不多,都應該在一流會議行列, 沒有必要給個高下。有些us的人認為ICCV/CVPR略好於ECCV,而歐洲人大都認為ICCV/ECCV略好於CVPR,某些英國的人甚至認為BMVC好於CVPR。簡言之, 三個會議差不多, 各有側重和偏好。 


筆者就個人經驗淺談三會異同, 以供大家參考和討論。 三者乃cv領域的旗艦和風向標,其oral paper (包括best paper) 代表當年度cv的最高水準, 在此引用Harry Shum的一句話, 想知道某個領域在做些什麼,找最近幾年此領域的proceeding看看就知道了。 ICCV/CVPR由IEEE Computer Society牽頭組織, ECCV好像沒有專門負責的組織。 CVPR每年(除2002年)都在美國開, ECCV每兩年開一次,僅限歐洲, ICCV也是每兩年一次,各洲輪值。 基本可以保證每年有兩個會議開, 這樣研究者就有兩次躋身牛會的機會。 
就錄取率而言, 三會都有波動。 如ICCV2001錄取率>30%,且出現兩個人(華人)各有三篇第一作者的paper的情況, 這在頂級牛會是不常見的 (灌水嫌疑)。 但是, ICCV2003, 2005兩次錄取率都很低, 大約20%左右。 ECCV也是類似規律, 在2004年以前都是>30%, 2006年降低到20%左右。 CVPR的錄取率近年來一直偏高,從2004年開始一直都在[25%,30%]。最近一次CVPR2006是28.1%, CVPR2007還不知道統計資料。筆者猜測為了維持錄取paper的絕對數量, 當submission少的時候錄取率偏高, 反之偏低,近幾年三大會議的投稿數量全部超過1000, 相對2000年前, 三會錄取率均大幅度降低,最大幅度50%->20%。 對錄取率走勢感興趣的朋友, 可參考 http://vrlab.epfl.ch/~ulicny/statistics/(CVPR2004的資料是錯的),http://www.adaptivebox.net/research/bookmark/CICON_stat.html. 


顯然, 投入cv的人越來越多,這個領域也是越來越大, 這點頗不似machine learning一直奉行愚蠢的小圈子主義。另外一點值得注意, ICCV/ECCV只收vision相關的topic,而cvpr會收少量的pattern recognition paper, 如finger print等,但是不收和image/video完全不佔邊的pr paper,如speech recognition等。我一個朋友曾經review過一篇投往CVPR的speech的paper, 三個reviewer一致拒絕,其中一個reviewer搞笑的指出, 你這篇paper應該是投ICASSP被據而轉投CVPR的。 就topic而言, CVPR涵蓋最廣。 還有一個沒有驗證過的原因導致CVPR錄取率高: 很多us的researcher不願意或沒有足夠的經費到us以外的地方開會, 故CVPR會優先接收很多來自us的paper (讓大家都happy)。 


以上對三會的分析對我們投paper是很有指導作用的。 目前的research我想絕大部分還是紙上談兵, 必經 read paper -> write paper -> publish paper -> publish paper on top conferences and journals流程。故瞭解投paper的一些基本技巧, 掌握領域的走向和熱點, 是非常必要的。 避免做無用功,選擇切合的topic,改善presentation, 注意格式 (遵守規定的模板), 我想這是很多新手需要注意的問題。如ICCV2007明文規定不寫summary page直接reject, 但是仍然有人忽視, 這是相當不值得的。 
3.國內期刊 
自動化學報、計算機學報、軟體學報、電子學報,中國圖象圖形學報,模式識別與人工智慧,光電子鐳射,精密光學工程等。
4.神經網路 
神經網路-Neural Networks Tutorial Review 
http://hem.hj.se/~de96klda/NeuralNetworks.htm 
ftp://ftp.sas.com/pub/neural/FAQ.html 


Image Compression with Neural Networks
http://www.comp.glam.ac.uk/digimaging/neural.htm 


Backpropagator's Review
http://www.dontveter.com/bpr/bpr.html 


Bibliographies on Neural Networks
http://liinwww.ira.uka.de/bibliography/Neural/ 


Intelligent Motion Control with an Artificial Cerebellum
http://www.q12.org/phd.html 


Kernel Machines
http://www.kernel-machines.org/ 


Some Neural Networks Research Organizations
http://www.ieee.org/nnc/ 
http://www.inns.org/ 


Neural Network Modeling in Vision Research
http://www.rybak-et-al.net/nisms.html 


Neural Networks and Machine Learning
http://learning.cs.toronto.edu/ 


Neural Application Software
http://attrasoft.com 


Neural Network Toolbox for MATLAB
http://www.mathworks.com/products/neuralnet/ 


Netlab Software
http://www.ncrg.aston.ac.uk/netlab/ 


Kunama Systems Limited http://www.kunama.co.uk/ 
5.Computer Vision(計算機視覺) 
Annotated Computer Vision Bibliography
http://iris.usc.edu/Vision-Notes/bibliography/contents.html 
http://iris.usc.edu/Vision-Notes/rosenfeld/contents.html 


Lawrence Berkeley National Lab Computer Vision and Robotics Applications
http://www-itg.lbl.gov/ITG.hm.pg.docs/VISIon/vision.html 


CVonline by University of Edinburgh
The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision, www.dai.ed.ac.uk/CVonline 


Computer Vision Handbook, 
www.cs.hmc.edu/~fleck/computer-vision-handbook 


Vision Systems Courseware
www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html 


Research Activities in Computer Vision
http://www-syntim.inria.fr/syntim/analyse/index-eng.html 


Vision Systems Acronyms
www.vision-systems-design.com/vsd/archive/acronyms.html 


Dictionary of Terms in Human and Animal Vision
http://cns-web.bu.edu/pub/laliden/WWW/Visionary/Visionary.html 


Metrology based on Computer Vision
www.cranfield.ac.uk/sme/amac/research/metrology/metrology.html 
6.Digital Photography 數字影象 
Digital Photography, Scanning, and Image Processing 
www.dbusch.com/scanners/scanners.htm l
7.Educational Resources, Universities 教育資源,大學 
Center for Image Processing in Education
www.cipe.com 
Library of Congress Call Numbers Related to Imaging Science by Rochester Institute of Technology
http://wally2.rit.edu/pubs/guides/imagingcall.html 


Mathematical Experiences through Image Processing, University of Washington 
www.cs.washington.edu/research/metip/metip.html 


Vismod Tech Reports and Publications, MIT 
http://vismod.www.media.mit.edu/cgi-bin/tr_pagemaker 


Vision Lab PhD dissertation list, University of Antwerp 
http://wcc.ruca.ua.ac.be/~visielab/theses.html 


INRIA (France) Research Projects: Human-Computer Interaction, Image Processing, Data Management, Knowledge Systems 
www.inria.fr/Themes/Theme3-eng.html 


Image Processing Resources
http://eleceng.ukc.ac.uk/~rls3/Contents.htm 


Publications of Carsten Steger
http://www9.informatik.tu-muench ... r/publications.html 
8.FAQs(常見問題) 
comp.dsp FAQ
www.bdti.com/faq/dsp_faq.htm 
Robotics FAQ
www.frc.ri.cmu.edu/robotics-faq 


Where's the sci.image.processing FAQ?
www.cc.iastate.edu/olc_answers/p ... processing.faq.html 


comp.graphics.algorithms FAQ, Section 3, 2D Image/Pixel Computations 
www.exaflop.org/docs/cgafaq 


Astronomical Image Processing System FAQ
www.cv.nrao.edu/aips/aips_faq.html 


四、搜尋資源
http://sal.kachinatech.com/ 
http://cheminfo.pku.edu.cn/mirrors/SAL/index.shtml 北京大學 


Google輸入:computer vision 或computer vision groups可以獲得很多結果 


網路資源:
CVonline http://homepages.inf.ed.ac.uk/rbf/CVonline/視覺研究組列表
Computer vision test Image http://www.cs.cmu.edu/~cil/v-images.html卡內基梅隆標準圖片庫
視覺論文搜尋:Paper search 
http://www.researchindex.com 




五、影象處理GPL庫(程式碼庫影象庫等) 
http://www.ph.tn.tudelft.nl/~klamer/cppima.html 
Cppima 是一個影象處理的C++函式庫。這裡有一個較全面介紹它的庫函式的文件,當然你也可以下載壓縮的GZIP包,裡面包含TexInfo格式的文件。 


http://iraf.noao.edu/ 
Welcome to the IRAF Homepage! IRAF is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data 


http://entropy.brni-jhu.org/tnimage.html 
一個非常不錯的Unix系統的影象處理工具,看看它的截圖。你可以在此基礎上構建自己的專用影象處理工具包。 


http://sourceforge.net/projects/ 
這是GPL軟體集散地,可以搜尋IP庫。 


國內的CSDN http://www.csdn.net/ 


 


 


計算機視覺領域的一些牛人部落格,超有實力的研究機構等的網站連結 


以下連結是本人整理的關於計算機視覺(ComputerVision, CV)相關領域的網站連結,其中有CV牛人的主頁,CV研究小組的主頁,CV領域的paper,程式碼,CV領域的最新動態,國內的應用情況等等。打算從事 這個行業或者剛入門的朋友可以多關注這些網站,多瞭解一些CV的具體應用。搞研究的朋友也可以從中瞭解到很多牛人的研究動態、招生情況等。總之,我認為, 知識只有分享才能產生更大的價值,真誠希望下面的連結能對朋友們有所幫助。 
(1)googleResearch; http://research.google.com/index.html 
(2)MIT博士,湯曉歐學生林達華; http://people.csail.mit.edu/dhlin/index.html 
(3)MIT博士後Douglas Lanman; http://web.media.mit.edu/~dlanman/ 
(4)opencv中文網站; http://www.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5 
(5)Stanford大學vision實驗室; http://vision.stanford.edu/research.html 
(6)Stanford大學博士崔靖宇; http://www.stanford.edu/~jycui/ 
(7)UCLA教授朱鬆純; http://www.stat.ucla.edu/~sczhu/ 
(8)中國人工智慧網; http://www.chinaai.org/ 
(9)中國視覺網; http://www.china-vision.net/ 
(10)中科院自動化所; http://www.ia.cas.cn/ 
(11)中科院自動化所李子青研究員; http://www.cbsr.ia.ac.cn/users/szli/ 
(12)中科院計算所山世光研究員; http://www.jdl.ac.cn/user/sgshan/ 
(13)人臉識別主頁; http://www.face-rec.org/ 
(14)加州大學伯克利分校CV小組; http://www.eecs.berkeley.edu/Research/Projects/CS/vision/ 


(15)南加州大學CV實驗室; http://iris.usc.edu/USC-Computer-Vision.html 
(16)卡內基梅隆大學CV主頁; http://www-2.cs.cmu.edu/afs/cs/project/ … ision.html
(17)微軟CV研究員Richard Szeliski; http://research.microsoft.com/en-us/um/people/szeliski/ 
(18)微軟亞洲研究院計算機視覺研究組; http://research.microsoft.com/en-us/groups/vc/ 
(19)微軟劍橋研究院ML與CV研究組; http://research.microsoft.com/en-us/gro … fault.aspx
(20)研學論壇; http://bbs.matwav.com/ 
(21)美國Rutgers大學助理教授劉青山; http://www.research.rutgers.edu/~qsliu/ 
(22)計算機視覺最新資訊網; http://www.cvchina.info/ 
(23)運動檢測、陰影、跟蹤的測試視訊下載; http://apps.hi.baidu.com/share/detail/18903287 
(24)香港中文大學助理教授王曉剛; http://www.ee.cuhk.edu.hk/~xgwang/ 
(25)香港中文大學多媒體實驗室(湯曉鷗); http://mmlab.ie.cuhk.edu.hk/ 
(26)U.C. San Diego. computer vision; http://vision.ucsd.edu/content/home 
(27)CVonline; http://homepages.inf.ed.ac.uk/rbf/CVonline/ 
(28)computer vision software; http://peipa.essex.ac.uk/info/software.html 
(29)Computer Vision Resource; http://www.cvpapers.com/ 
(30)computer vision research groups; http://peipa.essex.ac.uk/info/groups.html 
(31)computer vision center; http://computervisioncentral.com/cvcnews 


(32)浙江大學影象技術研究與應用(ITRA)團隊:http://www.dvzju.com/ 


(33)自動識別網:http://www.autoid-china.com.cn/ 


(34)清華大學章毓晉教授:http://www.tsinghua.edu.cn/publish/ee/4157/2010/20101217173552339241557/20101217173552339241557_.html 


(35)頂級民用機器人研究小組Porf.Gary領導的Willow Garage: http://www.willowgarage.com/ 


(36)上海交通大學影象處理與模式識別研究所:http://www.pami.sjtu.edu.cn/ 


(37)上海交通大學計算機視覺實驗室劉允才教授:http://www.visionlab.sjtu.edu.cn/ 


(38)德克薩斯州大學奧斯汀分校助理教授Kristen Grauman :http://www.cs.utexas.edu/~grauman/ 


(39)清華大學電子工程系智慧圖文資訊處理實驗室(丁曉青教授):http://ocrserv.ee.tsinghua.edu.cn/auto/index.asp 


(40)北京大學高文教授:http://www.jdl.ac.cn/htm-gaowen/ 


(41)清華大學艾海舟教授:http://media.cs.tsinghua.edu.cn/cn/aihz 


(42)中科院生物識別與安全技術研究中心:http://www.cbsr.ia.ac.cn/china/index%20CH.asp 


(43)瑞士巴塞爾大學 Thomas Vetter教授:http://informatik.unibas.ch/personen/vetter_t.html 


(44)俄勒岡州立大學 Rob Hess博士:http://blogs.oregonstate.edu/hess/ 


(45)深圳大學 於仕祺副教授:http://yushiqi.cn/ 


(46)西安交通大學人工智慧與機器人研究所:http://www.aiar.xjtu.edu.cn/ 


(47)卡內基梅隆大學研究員Robert T. Collins: http://www.cs.cmu.edu/~rcollins/home.html#Background 


(48)MIT博士Chris Stauffer: http://people.csail.mit.edu/stauffer/Home/index.php 


(49)美國密歇根州立大學生物識別研究組(Anil K. Jain教授):http://www.cse.msu.edu/rgroups/biometrics/