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Blog of some cool people in the computer vision field, links to websites such as super-powerful research institutions

(6) Dr. Cui Jingyu from Stanford University; http://www.stanford.edu /~ Jycui/ (7) Prof. Zhu songchun; http://www.stat.ucla.edu /~ Sczhu/ (8) China Artificial Intelligence Network; http://www.chinaai.org/ (9) China Visual network; http://www.china-vision.net/ (10) Institute of automation, Chinese Emy of sciences; http://www.ia.cas.cn/ (11) Researcher Li Ziqing, Institute of automation, Chinese Emy of sciences; http://www.cbsr.ia.ac.cn/users/szli/ Researcher Shan shiguang, Institute

Computer Vision and image processing advanced research institutions, Image Processing Research Institutions

Seattle Robotics Association Seattle Robotics Society Encoder (Single-camera Visual ODPS, google code) Monocular Visual Odometry» Dr. Rainer Hessmer Kinect Fusion Microsoft's kinect Application Projects «CMP machine Awareness Research Some robots, visual, and image processing Libraries Marco Zuliani's web page (matlab Image Processing Library) MRPT | Mobile Robot Programming Toolkit library Mobile Robot development library, including image processing,

Agile thinking: Methodology in Architecture Design (8)-Architecture Vision

Introduction:Starting from this article, we will enter another different topic, which is different from the previous model focused on organization, process, and method.Shao's model focuses more on design. However, the shadows of processes and methods are still vague in our discussion. The Architecture Vision is a very simple model, and it takes a short time in software development. But this does not meanThe architecture

Computer Vision Code

Participate in reproducible General Image Processing OpenCV (c + + code, BSD lic) Image manipulation, matrix manipulation, transforms Torch3vision (c + + code, BSD lic) Basic Image processing, matrix manipulation and feature extraction algorithms:rotation, Flip, photometric normalisations (Hist Ogram equalization, Multiscale Retinex, self-quotient Image or Gross-brajovic), edge detection, 2D DCT, 2D FFT, 2D Gabor, PCA to does eigen-faces, LDA to do fisher-faces. Various Metrics (Euclidean, Maha

Agile thinking-methodology in Architecture Design (8) Architecture Vision

Starting from this article, we will enter another different topic, which is different from the previous model focused on organization, process, and method. The model described later will focus more on design. However, the shadows of processes and methods are still vague in our discussion.The Architecture Vision is a very simple model, and it takes a short time in software development. However, this does not mean that the architecture

Awesome Deep Vision

Awesome Deep VisionA curated list of deep learning resources for computer vision, inspired by awesome-php andawesome-computer-vision.Maintainers-jiwon Kim, Heesoo myeong, Myungsub Choi, Janghoonchoi, Jung Kwon LeeContributingPlease feel the free-to-pull requests or email [e- Mail protected] to add links.Sharing Share on Twitter Share on Facebook Share on Google Plus Share on LinkedIn Table of Contents Papers

Software Framework for testing binocular vision

capture images, I used many examples of Microsoft program. Now there is another small problem with this program, that is, it still cannot get the Frame Rate of image processing. At this point, after this week, I will take a good look at it and it should be able to solve it. This week should mainly focus on image processing algorithms. Otherwise, the task may not be completed on time. In addition, because image processing and computer

Summary of global computer vision cool 1

)-----> Yong Rui (Microsoft Research Redmond)-----> Nebojsa jojic (Microsoft Research Redmond)-----> Ying Wu (Northwestern University)-----> Hai Tao (UCSC)-----> Yuncai Liu (SJTU)(There are too many people in the Huang series, and it is strange that the Web Information of uiuc is incomplete. Only what I know is listed here .)In addition, there are famous Daniel such as Takeo kanade, who are not listed in de

How computer vision is getting started

The following is a transcript of the guest's invitation from the "Fun Live – Knowledge Live platform" from June 29, 2017.Shared guest: Rough At present, artificial intelligence, machine learning, deep learning, computer vision has become a new era vane. This article mainly introduces the following points:1th, if you want to get started with computer vision, you need to know some basic knowledge. 2nd, since

Python Computer Vision programming pdf

package 247A.1 NumPy and SciPy 247a.1.1 Windows 247a.1.2 Mac OS X 247a.1.3 Linux 248A.2 Matplotlib 248A.3 PiL 248A.4 LIBSVM 249A.5 OpenCV 249a.5.1 Windows and UNIX 249a.5.2 Mac OS X 249a.5.3 Linux 250A.6 vlfeat 250A.7 Pygame 250A.8 PYOPENGL 250a.9 Pydot 251a.10 Python-graph 251a.11 Simplejson 252a.12 Pysqlite 252a.13 CherryPy 252Appendix B Image Set 253B.1 Flickr 253B.2 Panoramio 254B.3 Oxford University visual Geometry Group 255B.4 University of Kentucky identification benchmark Image 255B.5 O

How to get started with computer vision?

Computer Vision is an important field of artificial intelligence technology. For example (not necessarily appropriate), I thinkComputer Vision is the eyes of the AI age, Showing the importance. Computer Vision is actually a very ambitious concept. It is the skill tree that someone has summarized in computer vision. I

From hardware negative profit to hardware free, le vision with ecological anti-depth transformation of traditional hardware industry

March 30, le Vision in Beijing a conference to make the entire smart TV industry "Restless", in addition to the release of the 4th generation of Super TV, le Vision also announced a heavy program------"414 Hardware free Day", according to the plan, the April 14 will push 4 X55 curved Project Commemorative Version/ Super TV x40s/x43s and other gift products, users do not need to pay for hardware. How can thi

OpenCV learning completely based on the OpenCV of binocular depth of vision and the realization of ranging __OPENCV

Directory Directory Description Binocular Ranging principle OPENCV realization of binocular ranging principle binocular ranging code description of the code and implementation of binocular ranging next 1 Description Afraid to forget later, now summed up some time ago has been made, about binocular vision of things.The principle of binocular vision there are many online, I simply record my understanding of

A vision of the cloud, why become a unicorn?

650) this.width=650; "Src=" Http://s1.51cto.com/wyfs02/M00/83/B8/wKioL1d7TM3x8WLMAAFZmfBWl6I595.jpg-wh_500x0-wm_3 -wmp_4-s_476720405.jpg "Title=" Wu Asia 2.jpg "alt=" Wkiol1d7tm3x8wlmaafzmfbwl6i595.jpg-wh_50 "/>(Wuyazho, CEO of Le Vision Cloud)Now that you are in the office of the Lego Cloud, you will surely be shocked by the sight. This March, le Vision Cloud announced the completion of a round of financin

le-Vision cool-making ecology, post-implementation is the key

This afternoon, le Vision Cool co-convened in Beijing, the theme of "We Are one" of the visual ecology and Developers Conference. Eui, senior vice president of the research and development of Le Vision Network CTO, Shaohong, senior vice president of the group, Zhangguanghiang, is also the first public appearance of the two executives of the group.Music Vision Coo

"Reprint" Computer Vision (CV) Frontier International and domestic periodicals and conferences

Computer Vision (CV) Frontier International and domestic periodicals and conferencesMost of the periodicals here can be found indirectly through the homepage of the experts above.1. International conferences 2. International Journals 3. Domestic periodicals 4. Neural network 5.CV 6. Digital Image 7. Education resources, University 8. FAQ1. International conferencesNow, the international computer vision of t

Computer vision-related data sets and competitions

I. ImageNet Large scale Visual Recognition competition (ILSVRC) Imagenet data set is one of the most widely used data sets in the field of deep learning image, and the research work on image classification, localization and detection is mainly based on this data set. The imagenet dataset has more than 14 million images covering more than 20,000 categories, of which more than millions of images have explicit category labels and the location of objects in the image. Imagenet Data Set documentatio

Vision of "s + S": Install "Windows" for the Internet [draft]

the Windows-based standards accumulated over the years to cloud computing on the Internet, becoming a software service standard.Development Standards: Microsoft's biggest bet in the past decade. NET is still the pillar of Microsoft.Software Establishment Standard: The potential of Microsoft's WCF makes it the basis for Microsoft's SOA software establishment.User interaction standard: the new-generation user experience technology represented by WPF and Silverlight forms the user interface model

Protecting vision for the revolution---change colors for visual Studio

Protecting vision for the revolution---change colors for visual Studio"For the revolution, to protect eyesight, prevent myopia, eye exercises began ..." This should be the oldest version of eye exercises, have you heard?A bunch of crap.And do not say above this eye exercises in the end there is wood useful, let the eyes relax under or is very necessary, especially now every day is not mobile phone, tablet is a computer, the former also heard that some

[Switch] Protecting vision for the revolution-changing colors for Visual Studio

gets a break. I believe that the green exercise can protect your eyesight, but it is better to look out the window and be reliable. As mentioned above, Green Vision protection capabilities are not reliable. Setting the computer to bean paste Green only makes the screen brightness less eye-catching. "Bean paste green" has no effect on dry eyes that are caused by less eye blinks and excessive tear evaporation, as well as visual fatigue and upper body

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