DIP.WARRIOR

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http://www.youtube.com/watch?v=S-IPz71VxGo

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MAILING LIST OPENCV INDONESIA

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.

1. Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
2. Extracting camera motion and scene structure from image sequences
3. Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
4. Image-based lighting for illuminating scenes and objects with real-world light images
5. Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
6. Face detection, alignment, and recognition–with new solutions for key challenges
7. Perceptual interfaces for integrating vision, speech, and haptic modalities
8. Development with the Open Source Computer Vision Library (OpenCV)
9. The new SAI framework and patterns for architecting computer vision applications

   DOWNLOAD HERE

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 :

	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…
	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.
	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, …).
	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.
	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.
	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

C/C++ is a powerful programming language which supports a lot of libraries directly interact with “hardware part”. C/C++ is more robust when it’s used for executing floating point number and a lot of iterative functions. In the other side, Matlab has an ability to simulate and produce beautiful graph / trajectory.
You can use both of them simultaneously by adding some matlab libraries in c/c++ IDE. Here are the tutorials :

1. matlab-api-on-borland

2. matlab-and-ms-studio

3. matlab-api-to-c

Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to “see” and make decisions based on the data.

Start Reading The Book Online (Safari Book Online) or Buy Hardprinting

Download Source Code Example from O’Reilly Site