May 20th, 2009 §

informasi seminar - conference di seluruh dunia
Jika Anda adalah mahasiswa postgraduate dan sangat butuh situs yang memuat informasi seminar yang diselenggarakan di seluruh dunia, maka Anda saat ini membaca artikel yang tepat. Salah satu situs yang memuat informasi seminar/conference di seluruh dunia adalah ConferenceAlerts.Com
Situs ini memuat informasi seminar dari berbagai jenis bidang pengetahuan yang ada di dunia. Selain informasi seminar dari berbagai bidang, situs ini juga membuka kesempatan bagi para akademisi dan peneliti di seluruh dunia untuk mempublikasikan informasi penyelenggaraan seminar mereka. Untuk Anda yang tidak ingin repot-repot, Anda juga bisa subscribe email rutin yang akan memberikan informasi conference terbaru.
So, tunggu apa lagi?
Salam CV
May 10th, 2009 §

Riset computer vision dan image processing semakin diminati, tak hanya di kalangan terbatas akademisi antar kampus saja, namun juga di kalangan pengguna internet pada umumnya. Hal ini terbukti dengan beberapa grup diskusi di situs social networking Facebook yang bertemakan computer vision dan image processing, sebagaimana dua buah grup di bawah ini:
http://www.facebook.com/group.php?gid=2417304180
http://www.facebook.com/group.php?gid=2309641025
Para peneliti maupun pengguna internet umum kini juga bisa mengakses informasi umum dan khusus tentang komputer vision di sebuah website yang mengkhususkan kontennya pada hal-hal seputar computer vision :
http://www.computervisiononline.com/
Nah, kini sembari membaca artikel-artikel teknik, kita bisa menambah wawasan kita dengan cara yang menyenangkan…..
-Salam CV-
February 1st, 2009 §

Silahkan lihat video ini, di link :
http://www.youtube.com/watch?v=S-IPz71VxGo
Video pelajaran lain bisa didapatkan di bagian “Related Videos”
December 10th, 2008 §

Untuk rekan-rekan pengguna dan pengembang OpenCV, mari berdiskusi di mailing list OpenCV berbahasa Indonesia. Semoga sarana ini bisa menjadi wadah silaturahmi dan berbagi pengalaman.
MAILING LIST OPENCV INDONESIA
December 5th, 2008 §

The state-of-the art in computer vision: theory, applications, and programming
Whether you’re a working engineer, developer, researcher, or student, this is your single authoritative source for today’s key computer vision innovations. Gerard Medioni and Sing Bing Kang present advances in computer vision such as camera calibration, multi-view geometry, and face detection, and introduce important new topics such as vision for special effects and the tensor voting framework. They begin with the fundamentals, cover select applications in detail, and introduce two popular approaches to computer vision programming.
- Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
- Extracting camera motion and scene structure from image sequences
- Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
- Image-based lighting for illuminating scenes and objects with real-world light images
- Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
- Face detection, alignment, and recognition–with new solutions for key challenges
- Perceptual interfaces for integrating vision, speech, and haptic modalities
- Development with the Open Source Computer Vision Library (OpenCV)
- The new SAI framework and patterns for architecting computer vision applications
DOWNLOAD HERE
November 22nd, 2008 §

Website : http://cimg.sourceforge.net/index.shtml
The CImg Library is an open source C++ toolkit for image processing designed with these properties in mind :
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CImg defines simple classes and methods aimed at manipulating generic images in your own C++ code : Load/save various file formats, access pixel values, display, resize/rotate/mirror/filter, draw primitives (text, faces, curves, 3D objects, …), compute statistics, manage user interactions, and so on… |
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Provided image classes can represent datasets up to 4-dimension wide (from 1D scalar signals to 3D hyperspectral volumes), with template pixel types. Image collections and sequences are also supported. |
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CImg is self-contained and thus highly portable. It fully works on different operating systems (Unix, Windows, MacOS X, *BSD) with various C++ compilers (Visual C++, GNU g++, Intel icc, Borland bcc, …). |
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CImg is lightweight. It is made of a single header file CImg.h that must be included in your C++ source. It defines only four different classes. It can be compiled using a minimal set of standard C++ and system libraries. No need for exotic or complex dependencies. |
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Although not required, CImg can use functionalities of external tools/libraries such as ImageMagick, GraphicsMagick, XMedCon, FFMPEG, libpng, libjpeg, libtiff, Magick++, Lapack, Board or FFTW3. Moreover, a simple plug-in mechanism allows any user to directly enhance the library capabilities according to his needs. |
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CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications. |
CImg stands for “Cool Image” : It is easy to use and efficient. It’s a very pleasant toolbox to code image processing stuffs in C++, and potentially covers a wide range of image processing applications. In the distributed package, a lot of examples are provided to help the developper in its first steps.
Authors :
David Tschumperl