Transfer from a bare code, Stone original creation image processing work, the most important two questions: one is to grasp the international top
The content of the edge; its second is the practical background for the work. Solve the first question
It is to find out how many super big names that are recognized in this direction (see what they are doing) and the most authoritative
Publications (reading the latest literature above), solve the second problem method is that you can find one
The actual application of the project, while writing an article.
One way to do this is to make full use of network resources, especially the authority of the authoritative website and the personal home page. Below is some resources I have collected, I hope to be useful to everyone. (Here I want to thank the Alamarik and Graphics version of the SMTH Ai version).
Navigation Bar:
[1] Research group [2] Daji home page [3] Frontinal journal [4] GPL Software Resource [5] Search Engine
I. Research Group Color = # 000000Http: //www-2.cs.cmu.edu/~cil/vision.html This is the home page of the computer vision research group of Carni Melon, which provides a full information. Download from the published article to the demo, test images, common links, related software, and even have a search engine.
Color = # 000000Http: //www.cms.csiro.au/iap/zimage.htm This is a site-side image analysis site, general. But provide an Image Analysis environment --- zimage and szimage.
Color = # 000000Http: //www.via.cornell.edu/Connell University's computer vision and image analysis research group seem to be electronics and computer engineering. The focus on medical research, but there is a quite good resource above, the key is that it is under construction and can track some information.
Color = # 000000Http: //www2.parc.com/istl/groups/did/didoverview.shtml has a very interesting project: DID (document image decoding).
Color = # 000000Http: //www-s-students.stanford.edu/ Stanford University Computer Homepage, find yourself :(
Color = # 000000Http: //www.fmrib.ox.ac.uk/analysis/ Main Research: Brain Extraction Tool, Nonlinear Noise Reduction, Linear Image Registration,
Automated Segmentation, Structural Brain Change Analysis, Motion Correction, etc.
Color = # 000000HTTP: //www.cse.msu.edu/prip/ This is the pattern identification of the computer and electronics engineering system of Michigan State University - Image Processing Research Group, which has many articles on its FTP.
Color = # 000000Http: //pandora.inf.uni-jena.de/p/e/index.html Germany A digital image processing team, which can find some nice link resources.
Color = # 000000Http: //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.
color = # 000000http: //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 linksbetween academic institutes, industry and government agencies, and to transfer key Technologies to
Help Industry Build Next
Generation Commercial and Military Imaging and MultiMedia Systems.
Color = # 000000Http: //peipa.essex.ac.uk/info/groups.html can search for a well-known computer vision study group (CV Groups) around the world, it is recommended.
Second, the image processing GPL library color = # 000000HTTP: //www.ph.tn.tudelft.nl/~ Klamer/cppima.htmlcppima is a C function library for image processing. Here is a documentation that is more fully introduced to its library function, of course, you can download the compressed GZIP package, which contains documents in Texinfo format.
Color = # 000000HTTP: //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.
Color = # 000000Http: //entropy.brni-jhu.org/tnimage.html A very nice UNIX system image processing tool to see its screenshot. You can build your own dedicated image processing toolkit on this basis.
Color = # 000000Http: //sourceforge.net/projects/ This is the GPL software distribution ground, let's find the IP library you want to get.
Third, searching resources Of course, this basic search engine must still rely on, such as Google, etc., you can go to the common link to see. The following link may save you some time:
Color = # 000000Http: //sal.kachinatech.com/ color = # 00000000Http: //cheminfo.pku.edu.cn/mirrors/sal/index.shtml four, big net color = # 00000000Http: //www.ai .mit.edu / people / WTF / This Bill Freeman, which is MIT Artificial Intelligence Lab. famous! Expertise is: understanding - Bayesian model.
Color = # 000000Http: //www.merl.com/people/brand/merl (Mitsubishi Electric Research Laboratory) expert in the "style machine" master.
Color = # 000000Http: //research.microsoft.com/~ablake/cv A. Blake graduated from the Sany College of Jianqiao University in 1977 and a bachelor's degree in Mathematics and Electronic Science. After the MIT, EDINBURGH, OXFORD has established a research team and become Professor Oxford, until 1999 entered the Microsoft Cambridge Research Center. The main work areas are computer vision.
Color = # 000000Http: //www-2.cs.cmu.edu/afs/cs.cmu.edu/user/har/web/home.html This cow seems to be learning Chinese and collects, such as "two tiger Songs, 嘿 :) His homepage also has a few cattle: Shumeet Baluja, Takeo Kanade. Their Face Detection is absolutely one of the world. He graduated from the computer science department of Carni Mellon University, interest is computer vision. Color = # 000000Http: //www.ifp.uiuc.edu/yrui_ifp_home/html/huang_frame.html This old cow received a Ph.D. in MIT in 1963! The image lab he led is a fingerprint identification.
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Here are the catches I have collected (most of them are Ph.D in the day), you can learn their study ways!
FINN LINDGREN (SWEDEN): Statistical Image Analysis Color = # 000000Http: //www.maths.lth.se/matstat/staff/finn/pavel paclik (prague): statistical pattern recognition color = # 000000HTTP: //www.ph. tn.tudelft.nl/~pavel/Dr Mark Burge:. machine learning and graph theory color = # 000000http: //cs.armstrong.edu/burge/yalin Wang: Document Image Analysis color = # 000000http: //students.washington .edu / ~ ylwang / geir storvik: image analyysis color = # 000000Http: //www.math.uio.no/~geirs/heidorn color = # 000000Http: //alexia.lis.uiuc.edu/~ HEIDORN/JOAKIM LINDBLAD : Digital Image Cytometry Color = # 000000Http: //www.cb.uu.se/~joakim/index_eng.htmls.lavirotte: color = # 000000Http: //www-sop.inria.fr/cafe/stephane.lavirotte/sporring : scale-space techniques color = # 000000Http: //www.Lab3d.odont.ku.dk/~sporring/mark jenkinson: reduction of mr artefacts color = # 000000Http: //www.fmrib.ox.ac.uk/~ Mark / Justin K. Romberg: Digital Sign Al processing color = # 000000Http: //www-dsp.rice.edu/~jrom/fauqueur: image retrieval by region of interest color = # 000000HTTP: //www-rocq.inria.fr/~fauqueur/james J. Nolan : Computer Vision Color = # 00000000Http: //cs.gmu.edu/~jnolan/daniel X. Pape: Information Color = # 000000HTTTP: //www.bucho.org/~dpape/drew Pilant: Remote Sensing Technology Color = # 000000Http: //www.geo.mtu.edu/~anpilant/index.html 5. The top journal (TOP10) This journal can be indirectly found through the main page of the above, it is mainly for this list. Savings directly want to find a brother of the journal contribution :)
