Transfer from a bare code, Stone original creation image processing research work, two two questions: one is to grasp the international forefront of the world; the second is that the work must have a very high utility background. The first question is to find out how many super big in this direction (see what they are doing) and the most authoritative publications (reading the latest literature above), solve the second problem The way is that you'd better find an actual application project, and write an article while you. 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 of the Alam: [1] Research group [2] Daji home page [3] Frontinal journal [4] GPL software resources [5] Search Engine 1, research group Color = # 000000HTTP: //www-2.cs.cmu.edu/~cil/vision.html This is the home page of the computer vision research group of Kaniki Mellon, which provides a full information from published articles. Download to 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-cs-students.stanford.edu/ Stanford University Computer Literature Homepage, Looking: (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 a Michigan State University computer and electronics Engineering Pattern Identification - Image Processing Research Group, there are 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 on it.
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 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 color = # 000000http:. //peipa.essex.ac.uk/info/groups.html can use it to search the whole The well-known computer visual research group (CV Groups), which is very 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 = # 000000Http: //cheminfo.pku.edu.cn/mirror/sal/index.shtml four, big net Color = # 000000Http: //www.ai.mit.edu/people/wTF/ This is the Bill Freeman of the 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.
-------------------------------------------------- ------------------------------ The following is the cattle group I got (most of the Ph.D in the day), It can be learned is their Study Ways! FINN LINDGREN (Sweden): statistical image analyysis 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 Signal 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 = # 000000Http: //cs.gmu .edu / ~ jnolan / daniel x. pape: information color = # 000000HTTP: //www.bucho.org/~dpape/drew Pilant: Remote Sensing Technology Color = # 000000Http: //www.geo.mtu.edu/~ Anpilant / Index.html 5. The top journals (TOP10) The journals here can be indirectly found through the homepage of the above, this listing is mainly to save the time of the brothers who want to find the journal for submission :) IEEE TRANS. On Pami Color =
