个人主页 Alessandro Foi Andrea L. Bertozzi Antoni Buades Antonin Chambolle Jean-Luc Starck Jean-Michel Morel Yi Ma Stanley Osher Thomas Pock 公开数据集 The USC-SIPI Image Database 公开代码 Total Variation Denoising
Paul Graham : www.paulgraham.com Joel Spolsky : www.joelonsoftware.com Joel Spolsky (China Version) : local.joelonsoftware.com 阮一峰: http://www.ruanyifeng.com/
国际有机大牛的个人主页 Roald Hoffmann http://www.roaldhoffmann.com/pn/ Orville L. Chapman http://www.chem.ucla.edu/dept/Organic/chapman.html Ronald Breslow http://www.columbia.edu/cu/ chemistry /breslow/ Kenneth B. Wiberg http://www.chem.yale.edu/~wiberg/index.html Koji Nakanishi http://www.columbia.edu/cu/chemistry/groups/nakanishi/ K. Barry Sharpless http://www.scripps.edu/chem/sharpless/ Robert G. Bergman http://www.cchem.berkeley.edu/rgbgrp/index.html Ryoji Noyori http://en.wikipedia.org/wiki/Ryoji_Noyori David A. Evans http://www2.lsdiv.harvard.edu/labs/evans/ Barry M. Trost http://www.stanford.edu/group/bmtrost/ James F. Stoddart http://stoddart.chem.ucla.edu/ Jean M. J.Fréchet http://frechet.cchem.berkeley.edu/ Larry E. Overman http://overiris1.ps.uci.edu/ K.C. Nicolaou http://www.scripps.edu/chem/nicolaou/ Peter G. Schultz http://schultz.scripps.edu/ James P. Collman http://www.stanford.edu/group/collman/ Kendall N. Houk http://www.chem.ucla.edu/dept/Faculty/houk.html/group/ Charles P. Casey http://www.chem.wisc.edu/~casey/index.html George M. Whitesides http://gmwgroup.harvard.edu/ Scott E. Denmark http://www.scs.uiuc.edu/chem/faculty/Scott_Denmark.html Paul A. Wender http://www.stanford.edu/group/pawender/ William L. Jorgensen http://zarbi.chem.yale.edu/ Stephen L. Buchwald http://mit.edu/chemistry/buchwald/ Chi-Huey Wong http://www.scripps.edu/chem/wong/ JoAnne Stubbe http://web.mit.edu/biochemistry/ Edward C. Taylor http://ectaylor.web.wesleyan.edu/ Iwao Ojima http://ojima10.chem.sunysb.edu/~ojimaweb/ojima/ojima.html Eric N. Jacobsen http://www.chem.harvard.edu/groups/Jacobsen/ Steven G. Boxer http://www.stanford.edu/group/boxer/ Stephen F. Martin http://research.cm.utexas.edu/smartin/ Daniel Kahne http://www.chem.harvard.edu/groups/kahne/ Barbara Imperiali http://web.mit.edu/imperiali/ Jeffrey S. Moore http://sulfur.scs.uiuc.edu/ Samuel H. Gellman http://www.chem.wisc.edu/~gellman/ Jay S. Siegel http://www.oci.unizh.ch/group.pa ... /special_events.php Scott D. Rychnovsky http://chem.ps.uci.edu/~srychnov/Rychnovsky.html John F. Hartwig http://www.scs.uiuc.edu/hartwig/ Gregory C. Fu http://web.mit.edu/chemistry/fugroup/about_gcf.html James S. Panek http://people.bu.edu/panek/ Matthew D. Shair http://www.chem.harvard.edu/rese ... hew_shair/home.html David R. Liu http://evolve.harvard.edu/ Yoshinori Yamamoto http://hanyu.chem.tohoku.ac.jp/~web/lab/pages/e/index.html Jeffrey W. Bode http://www.chem.ucsb.edu/~bodegroup/
涉足计算机视觉领域要知道的 做机器视觉和图像处理方面的研究工作，最重要的两个问题：其一是要把握住国际上最前沿的内容；其二是所作工作要具备很高的实用背景。解决第一个问题的办法就是找出这个方向公认最高成就的几个超级专家(看看他们都在作什么)和最权威的出版物(阅读上面最新的文献)，解决第二个问题的办法是你最好能够找到一个实际应用的项目，边做边写文章。 做好这几点的途径之一就是利用网络资源，利用权威网站和专家们的个人主页。 依照下面目录整理： 研究群体(国际国内) 专家主页 前沿国际国内期刊与会议 搜索资源 GPL软件资源 一、研究群体 用来搜索国际知名计算机视觉研究组(CV Groups)： 国际计算机视觉研究组清单 http://peipa.essex.ac.uk/info/groups.html 美国计算机视觉研究组清单 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 这是卡奈基梅隆大学的计算机视觉研究组的主页，上面提供很全的资料，从发表文章的下载到演示程序、测试图像、常用链接、相关软硬件，甚至还有一个搜索引擎。著名的有人物Tomasi， Kanade等。 卡内基梅隆大学双目实验室 http://vision.middlebury.edu/stereo/ 卡内基梅隆研究组 http://www.cs.cmu.edu/~cil/v-groups.html 还有几个实验室： Calibrated Imaging Laboratory 图像 Digital Mapping Laboratory 映射 Interactive Systems Laboratory 互动 Vision and Autonomous Systems Center视觉自适应 http://www.via.cornell.edu/ 康奈尔大学的计算机视觉和图像分析研究组，好像是电子和计算机工程系的。侧重医学方面的研究，但是在上面有相当不错资源，关键是它正在建设中，能够跟踪一些信息。 Cornell University——Robotics and Vision group http://www-cs-students.stanford.edu/ 斯坦福大学计算机系主页 1. http://white.stanford.edu/ 2. http://vision.stanford.edu/ 3. http://ai.stanford.edu/ 美国斯坦福大学人工智能机器人实验室 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/ —密歇根州立大学计算机和电子工程系的模式识别--图像处理研究组，它的FTP上有许多的文章(NEW)。 美国密歇根州大学认知模型和图像处理实验室 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 德国的一个数字图像处理研究小组，在其上面能找到一些不错的链接资源。 柏林大学 http://www.cv.tu-berlin.de/ 德国波恩大学视觉和认识模型小组 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. 英国的Bristol大学的Digital Media Group在高级图形图像方面不错。主要就是涉及到场景中光线计算的问题，比如用全局光照或是各种局部光照对高动态图的处理，还有近似真实的模拟现实环境 (照片级别的)，还有用几张照片来建立3D模型(人头之类的)。另外也有对古代建筑模型复原。 http://www.cs.bristol.ac.uk/Research/Digitalmedia/ 而且根据Times全英计算机排名在第3， 也算比较顶尖的研究了 http://www.cmis.csiro.au/IAP/zimage.htm 这是一个侧重图像分析的站点，一般。但是提供一个Image Analysis环境---ZIMAGE and SZIMAGE。 麻省理工视觉实验室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 加州大学伯克利分校视觉实验室David A. Forsyth： http://www.cs.berkeley.edu/~daf/ UCLA(加州大学洛杉矶分校) http://vision.ucla.edu/ 视觉实验室 英国牛津的A.Zisserman： http://www.robots.ox.ac.uk/~az/ 机器人实验室 美国南加州大学智能机器人和智能系统研究所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 实验室 美国南加州大学计算机视觉实验室介绍： 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 英国约克大学高级计算机结构神经网络小组 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/ 瑞士戴尔莫尔感知人工智能研究所 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/ 英国萨里大学视觉，语言和信号处理中心 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/ 美国阿默斯特马萨诸塞州立大学计算机视觉实验室 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 美国芝加哥伊利诺伊斯大学贝克曼研究中心智能机器人和计算机视觉实验室 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) 英国伯明翰大学计算机科学学校视觉研究小组 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/ 微软研究院机器学习与理解研究小组 / 计算机视觉小组 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/ 微软公司的文献： http://research.microsoft.com/research/pubs 微软亚洲研究院： http://research.microsoft.com/asia/ ，值得关注Harry Shum， Jian Sun， Steven Lin， Long Quan(兼职HKUST)etc. 瑞典隆德大学数学系视觉组： http://www.maths.lth.se/matematiklth/personal/andersp/ 感觉国外搞视觉的好多是数学系出身，大约做计算机视觉对数学要求很高吧。 澳大利亚国立大学： http://users.rsise.anu.edu.au/~hartley/ 美国北卡大学： http://www.cs.unc.edu/~marc/ 法国INRIA： http://www-sop.inria.fr/odyssee/team/ 由Olivier.Faugeras领衔的牛人众多。 比利时鲁汶大学的L.Van Gool： www.esat.kuleuven.ac.be/psi/visics/ 据说在这个只有中国一个小镇大小的地方的鲁汶大学在欧洲排行top10，名列世界top100，还出了几个诺贝尔奖，视觉研究也很强. 美国明德 http://vision.middlebury.edu/stereo/ 以下含有非顶尖美国学校研究组，没有链接(个别的上面已经提到)，供参考。 Amerinex Applied Imaging， Inc. Boston University Image and Video Computing Research group University of California at Santa Barbara加州大学芭芭拉分校 Vision Research Lab University of California at San Diego加州大学圣迭戈分校 Computer Vision Robotics Research Laboratory Visual Computing laboratory University of California at Irvine加州大学欧文分校，加州南部一城，在圣安娜东南， Computer Vision laboratory University of California， Riverside加州大学河滨分校 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) 密歇根大学有汽车车身检测研究 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 宾夕法尼亚大学 Computer Vision Precision Digital Images Purdue University普渡大学 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 国内： 中科院模式识别国家重点实验室 http://www.nlpr.ia.ac.cn/English/rv/mainpage.html 虹膜识别、掌纹识别、人脸识别、 莲花山 http://www.stat.ucla.edu/~sczhu/Lotus/ 天津大学精密测试技术及仪器国家重点实验室 研究方向包括：激光及光电测试技术、传感及测量信息技术、微纳测试与制造技术、制造质量控制技术。该实验室是国内精密测试领域惟一的国家重点实验室。 “智能微系统及其集成应用技术”、“微结构光学测试技术”、“油气储运安全检测技术”、“先进制造中的视觉测量及其关键技术”、“正交偏振激光器原理、特性及其在精密计量中的应用研究”等5项代表性成果（07.3）。 中科院长春光机所 http://www.ciomp.ac.cn/ny/keyan.asp 中科院沈阳自动化所 http://www.sia.ac.cn/index.php 中科院西安光机所 http://www.opt.ac.cn/yanjiushi/gpcxjs1.htm 北京大学智能科学系 http://www.cis.pku.edu.cn/vision/vision.htm 三维视觉计算与机器人，生物特征识别与图像识别 二、专家网页 http://www.ai.mit.edu/people/wtf/ 这位可是MIT人工智能实验室的BILL FREEMAN。专长是：理解--贝叶斯模型。 http://www.merl.com/people/brand/ MERL(Mitsubishi Electric Research Laboratory)中的擅长“Style Machine”。 http://research.microsoft.com/~ablake/ CV界极有声望的A.Blake 1977年毕业于剑桥大学三一学院并或数学与电子科学学士学位。之后在MIT，Edinburgh，Oxford先后组建过研究小组并成为Oxford的教授，直到1999年进入微软剑桥研究中心。主要工作领域是计算机视觉。 http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/har/Web/home.html 这位专家好像正在学习汉语，主页并且搜集了诸如“两只老虎(Two Tigers)”的歌曲。 他的主页上面还有几个专家：Shumeet Baluja， Takeo Kanade。他们的Face Detection作的绝对是世界一流。毕业于卡奈基梅隆大学的计算机科学系，兴趣是计算机视觉。 三、前沿国际国内期刊与会议 这里的期刊大部分都可以通过上面的专家们的主页间接找到 1.国际会议 2.国际期刊 3.国内期刊 4.神经网络 5.CV 6.数字图象 7.教育资源，大学 8.常见问题 1. 国际会议 现在，国际上计算机视觉方面的三大国际会议是ICCV， CVPR和ECCV，统称之为ICE。 ICCV的全称是International Comference on Computer Vision。ICCV两年一次，与ECCV正好错开，是公认的三个会议中级别最高的。 ECCV的全称是Europeon Conference on Computer Vision，是一个欧洲的会议。 CVPR的全称是Internaltional Conference on Computer Vision and Pattern Recogintion国际计算机视觉与模式识别会议。这是一个一年一次的会议，举办地在美国。 ICIP— BMVC— MVA— 国际模式识别会议(ICPR )： 亚洲计算机视觉会议(ACCV)： 2.国际期刊 以计算机视觉为主要内容之一的国际刊物也有很多，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) 众所周知， computer vision(cv) 存在ICCV/CVPR/ECCV三个顶级会议，它们档次差不多，都应该在一流会议行列， 没有必要给个高下。有些us的人认为ICCV/CVPR略好于ECCV，而欧洲人大都认为ICCV/ECCV略好于CVPR，某些英国的人甚至认为BMVC好于CVPR。简言之， 三个会议差不多， 各有侧重和偏好。 笔者就个人经验浅谈三会异同， 以供大家参考和讨论。 三者乃cv领域的旗舰和风向标，其oral paper (包括best paper) 代表当年度cv的最高水准， 在此引用Harry Shum的一句话， 想知道某个领域在做些什么，找最近几年此领域的proceeding看看就知道了。 ICCV/CVPR由IEEE Computer Society牵头组织， ECCV好像没有专门负责的组织。 CVPR每年(除2002年)都在美国开， ECCV每两年开一次，仅限欧洲， ICCV也是每两年一次，各洲轮值。 基本可以保证每年有两个会议开， 这样研究者就有两次跻身牛会的机会。 就录取率而言， 三会都有波动。 如ICCV2001录取率30%，且出现两个人(华人)各有三篇第一作者的paper的情况， 这在顶级牛会是不常见的 (灌水嫌疑)。 但是， ICCV2003， 2005两次录取率都很低， 大约20%左右。 ECCV也是类似规律， 在2004年以前都是30%， 2006年降低到20%左右。 CVPR的录取率近年来一直偏高，从2004年开始一直都在 。最近一次CVPR2006是28.1%， CVPR2007还不知道统计数据。笔者猜测为了维持录取paper的绝对数量， 当submission少的时候录取率偏高， 反之偏低，近几年三大会议的投稿数量全部超过1000， 相对2000年前， 三会录取率均大幅度降低，最大幅度50%-20%。 对录取率走势感兴趣的朋友， 可参考 http://vrlab.epfl.ch/~ulicny/statistics/(CVPR2004 的数据是错的)， http://www.adaptivebox.net/research/bookmark/CICON_stat.html. 显然， 投入cv的人越来越多，这个领域也是越来越大， 这点颇不似machine learning一直奉行愚蠢的小圈子主义。另外一点值得注意， ICCV/ECCV只收vision相关的topic，而cvpr会收少量的pattern recognition paper， 如finger print等，但是不收和image/video完全不占边的pr paper，如speech recognition等。我一个朋友曾经review过一篇投往CVPR的speech的paper， 三个reviewer一致拒绝，其中一个reviewer搞笑的指出， 你这篇paper应该是投ICASSP被据而转投CVPR的。 就topic而言， CVPR涵盖最广。 还有一个没有验证过的原因导致CVPR录取率高: 很多us的researcher不愿意或没有足够的经费到us以外的地方开会， 故CVPR会优先接收很多来自us的paper (让大家都happy)。 以上对三会的分析对我们投paper是很有指导作用的。 目前的research我想绝大部分还是纸上谈兵， 必经 read paper - write paper - publish paper - publish paper on top conferences and journals流程。故了解投paper的一些基本技巧， 掌握领域的走向和热点， 是非常必要的。 避免做无用功，选择切合的topic，改善presentation， 注意格式 (遵守规定的模板)， 我想这是很多新手需要注意的问题。如ICCV2007明文规定不写summary page直接reject， 但是仍然有人忽视， 这是相当不值得的。 3.国内期刊 自动化学报、计算机学报、软件学报、电子学报，中国图象图形学报，模式识别与人工智能，光电子激光，精密光学工程等。 4.神经网络 神经网络-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(计算机视觉) 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 数字图像 Digital Photography， Scanning， and Image Processing www.dbusch.com/scanners/scanners.htm l 7.Educational Resources， Universities 教育资源，大学 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（常见问题） 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、搜索资源 http://sal.kachinatech.com/ http://cheminfo.pku.edu.cn/mirrors/SAL/index.shtml 北京大学 Google输入：computer vision 或computer vision groups可以获得很多结果 网络资源： CVonline http://homepages.inf.ed.ac.uk/rbf/CVonline/ 视觉研究组列表 Computer vision test Image http://www.cs.cmu.edu/~cil/v-images.html 卡内基梅隆标准图片库 视觉论文搜索：Paper search http://www.researchindex.com 五、图像处理GPL库（代码库图像库等） http://www.ph.tn.tudelft.nl/~klamer/cppima.html Cppima 是一个图像处理的C++函数库。这里有一个较全面介绍它的库函数的文档，当然你也可以下载压缩的GZIP包，里面包含TexInfo格式的文档。 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 一个非常不错的Unix系统的图像处理工具，看看它的截图。你可以在此基础上构建自己的专用图像处理工具包。 http://sourceforge.net/projects/ 这是GPL软件集散地，可以搜索IP库。 国内的CSDN http://www.csdn.net/
Ching W. Tang原来就是邓青云 一直就知道Ching W. Tang在柯达开创性工作，不过因为自己不做OLED和OFET，所以对Ching W. Tang的中文名是什么 也就不知道，大概是姓唐的位老先生吧。 晚上翻新出的《分子材料与薄膜器件》时发现导言中有邓青云（Ching W. Tang）的字样，原来这就是他的中文名啊， 怪不得偶尔见到“邓青云”这个名字被授予 OLED相关的奖项时纳闷这个谁啊，原来是自己太无知了，不过香港人的中 文的英文名实在搞不明白。 在他的个人主页上，有张照片，舒适地坐在窗前的竹桌边，窗边的有幅字，是楷体的“人为”，我猜测应该是“事在人为”四个字，只是美国的摄影师不懂中国的传统文化，只知道汉字的点缀，却不知老先生将这幅字挂在窗前的含义。也许，当年拍摄这幅字时邓老先生会对摄影师说，一定要把这幅拍全了，可惜网页的编辑全然不懂截掉了；也许。 http://zh.wikipedia.org/zh-cn/%E9%82%93%E9%9D%92%E4%BA%91 邓青云（Ching W. Tang，1947年7月23日－），美国物理学家，美国国家工程学院院士、美国物理学会会员、国际信 息显示学会会员、罗切斯特大学化学工程系，化学系及物理与天文学系教授。 目录 1 学术研究 2 生平 3 获奖及荣誉 4 代表性著作 5 外部链接 6 参考 学术研究 邓青云的学术贡献主要在于发现有机发光半导体（OLED)和异质结有机太阳能电池，发展有机发光半导体显示技术。他 在有机半导体材料和有机电子学方面的基础研究和产业化研究得到了业界的广泛承认和肯定 。 生平 邓青云是华裔, 1947年生于香港元朗，祖籍广东。1970年，邓青云获得不列颠哥伦比亚大学化学理学学士学位。1975 年，获得美国康奈尔大学物理化学博士学位。1975年-2006年，分别担任伊士曼柯达公司研究科学家，高级研究科学家 ，助理研究员，高级助理研究员和资深研究员 。2006年至今担任罗切斯特大学化学工程系，化学系、及物理和天文 学系教授 。 获奖及荣誉 1994年，获伊士曼柯达公司颁发的柯达杰出发明家称号 1998年，被美国物理学会遴选为会员 2000年，获伊士曼柯达公司颁发的伊士曼创新奖 2001年，获国际信息显示学会颁发的Jan Rajchman奖 2001年，获美国化学会颁发的Carothers奖 2002年，被国际信息显示学会遴选为会员 2003年，获美国化学会颁发的团队创新奖 2003年，获伊士曼柯达公司颁发的柯达研究实验室资深研究员称号 2005年，获德国Alexander von Humboldt基金颁发的Humboldt科研奖 2006年，被罗切斯特大学聘请为Doris Johns Cherry教授 2006年，被美国国家工程学院遴选为院士 2007年，获电气电子工程师协会颁发的Daniel E. Noble奖 2010年，获罗切斯特大学Hajim工程与应用科学学院颁发的终身成就奖 2002年，被聘请为华南理工大学荣誉教授 2004年，被聘请为上海大学荣誉教授 2010年，被上海大学授予荣誉博士学位 代表性著作 Tang, C. W., Two-layer organic photovoltaic cell, Applied Physics Letters (1986), 48(2), 183-5. DOI: 10.1063/1.96937 Tang, C. W.; VanSlyke, S. A., Organic electroluminescent diodes, Applied Physics Letters (1987), 51 (12), 913-15. DOI: 10.1063/1.98799 Tang, C. W.; VanSlyke, S. A.; Chen, C. H., Electroluminescence of doped organic thin films, Journal of Applied Physics (1989), 65(9), 3610-16. DOI: 10.1063/1.343409 VanSlyke, S. A.; Chen, C. H.; Tang, C. W., Organic electroluminescent devices with improved stability, Applied Physics Letters (1996), 69(15), 2160-62. DOI: 10.1063/1.117151 http://www.rochester.edu/news/show.php?id=2736 2007-01-19 Inventor of Next-Generation Display Technology Joins Faculty Professor Ching W. Tang High-resolution photo for download (University of Rochester) OLED Creator Ching W. Tang Named Doris Johns Cherry Professor Ching W. Tang, professor of chemical engineering and chemistry, and father of the multi-billion-dollar organic light-emitting diode (OLED) industry, has been named the Doris Johns Cherry Professor at the University of Rochester. Tang, the world leader in organic electronics including OLEDs and solar cells, is the first to hold the new chair. "We are very pleased to have successfully recruited Ching Tang and welcome his timely arrival in the Department of Chemical Engineering," says Shaw Chen, chair of the department. "Our commitment to new alternative energy sources and flat-panel displays will be greatly enhanced by Ching's leadership in these fields. Other programs across engineering and the sciences will also be well served by the interdisciplinary nature of his research." Tang is known internationally for his pioneering work on organic solar cells and OLEDs, which is the new flat-panel display that offers superior imagery for far less power than even the most advanced LCD displays today. In addition to the discovery of efficient OLEDs, Tang has been credited with a number of key innovations leading to the commercialization of a new flat-panel display technology, including the development of robust luminescent materials, novel color pixilation methods, fabrication processes for the manufacture of OLED displays, and the adaptation of technology for high-definition OLED displays. Tang is also widely recognized for his seminal work early in photovoltaics, which could lead to major improvements in the ability of solar cells to capture energy from the sun. OLED and photovoltaics are like two sides of the same coin; one converts energy into light for a display, and the other converts light from the sun into energy. "Ching Tang is the most accomplished and the highest regarded innovator in the organic electronics industry, and we're delighted to have him as a member of our engineering program," says Kevin J. Parker, dean of the School of Engineering and Applied Sciences at the University of Rochester. "Our Department of Chemical Engineering has grown dramatically over the last few years, sporting a superb forward-looking doctoral program. Ching's addition highlights the hallmarks of the University's engineering, from the photonics started by the nation's first optical doctoral program to our strategic focus on alternative energies at present." Tang is a fellow of the American Physical Society, of the Society for Information Display, and was recently elected a member of the National Academy of Engineering. He holds more than 70 U.S. patents and has published 70 papers, including three highly cited papers based on his original work on solar cells and OLEDs. Tang has received a number of awards, including the Eastman Innovation Award (2000) from Eastman Kodak Company, the Carothers Award (2001) and the Team Innovation Award (2003) from the American Chemical Society, the Jan Rajchman Prize (2001) from the Society for Information Display, the Humboldt Research Award (2005), and the Daniel E. Noble Award (2007) from the Institute of Electrical and Electronics Engineers. Tang obtained a bachelor's degree in chemistry from the University of British Columbia in 1970, and a doctorate from Cornell University in 1975, also in chemistry. Tang joined the Kodak Research Laboratories after graduating from Cornell in 1975. Initially, he worked on solar energy conversion and succeeded in developing the first organic solar cells with 1 percent efficiency based on a structure that he invented. A few years later, he went on to discover the high-efficiency organic light emitting diode—the OLED, and spent the rest of his career at Kodak primarily leading the research and development effort in OLED. The Doris Johns Cherry Professorship was established in July 2006, with a gift of $1.5 million. Doris Johns Cherry died on Jan. 17, 2005, and bequeathed a generous portion of her estate for unrestricted support of the University. "Though I did not know Doris, I have learned that she made major decisions only after completing her due diligence," says Joel Seligman, president of the University. "The fact that she chose to leave the bulk of her estate to the University and gave us the flexibility to designate it to endow this important, named professorship is a high compliment. I believe that today's celebration affirms the wisdom of her choice. We will forever be grateful to Doris, and to her friend and counselor Jim Vazzana for the role he played in so carefully fulfilling her wishes." Mrs. Cherry graduated from West High School in Rochester at 16, earned a bachelor's in economics from the University of Rochester in 1943, and was a member of Theta Eta Sorority. After returning to Rochester in the 1950s from Chicago, she worked at the University in the benefits office for eight year before joining the Wiedman Wiedman law firm where she worked until the mid-90s. She served as communication chair for her 50th reunion in 1993. In recognition of Mrs. Cherry's generosity, a tree was dedicated in her name just outside Wilson Commons on the River Campus of the University. Contact: Jonathan Sherwood 585.273.4726
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