作机器视觉和图像处理方面的研究工作,重要的两个问题:其一是要把握住上前沿的内容;其二是所作工作要具备很高的实用背景。解决问题的办法就是找出这个方向公认高成就的几个专家(看看他们都在作什么)和权威的出版物(阅读上面新的文献),解决第二个问题的办法是你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:

  [1]研究群体(国内)[2]专家主页[3]前沿国内期刊与会议[4]搜索资源[5]GPL软件资源

  一、研究群体

  用来搜索知名计算机视觉研究组(CV Groups):

  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。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.会议 2.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. 会议

  现在,上计算机视觉方面的三大会议是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—

  模式识别会议(ICPR ):

  亚洲计算机视觉会议(ACCV):

  2.期刊

  以计算机视觉为主要内容之一的刊物也有很多,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[25%,30%]。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/