Integrating Vision Toolkit 1.3.13

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Date added

May 2, 2011

Developer

Pedram Azad | (more products)

All time downloads

265

License

Free

Platform

Windows

Description of Integrating Vision Toolkit 1.3.13

C++ computer vision library with an object-oriented architecture

The Integrating Vision Toolkit (IVT) is a stand-alone easy-to-use, platform-independent open source C++ computer vision library with an object-oriented architecture. It offers a clean camera interface and a general camera model, as well as many fast implementations of image processing routines and mathematic data structures and functions. The IVT offers its own multi-platform GUI toolkit.

Key features

• Undistortion
• Combined Rectification/Undistortion (remapping and interpolation is performed only once for both)
• Harris Corner Detector
• SIFT Features and kd-tree feature matching
• Calibration: fully integrated single and stereo camera model
• Many filters, resize, Bayer2RGB, RGB2HSV, SVD, PCA, Linear Least Squares, drawing, ...
• POSIT (pose estimation on the basis of 2D-3D point correspondences)
• Core function of the ICP (pose estimation on the basis of 3D-3D point correspondences)

Editor's review for Integrating Vision Toolkit

Are you looking for a powerful object-oriented C++ library? Integrating Vision Toolkit is a simple and intuitive tool and its unique architecture is object oriented. For its type, Integrating Vision Toolkit is one of the fastest computer vision libraries that you will ever encounter. Integrating Vision Toolkit is easy to use and doesn’t require any special knowledge in order for you to get the best out of it. It packs many useful features that will surely make your work much easier. Find out in this exciting article why Integrating Vision Toolkit is one of the most complex C++ libraries in the world.

As stated above, Integrating Vision Toolkit is a C++ computer vision library with an object oriented architecture that’s very user-friendly. Furthermore, it has its own GUI toolkit operating on a multitude of platforms. A useful advantage of Integrating Vision Toolkit is the fact that it is a stand-alone and it doesn’t depend on a specific platform making it platform-independent. Regarding its interface, it must be said that it offers a very clean interface making it impossible to ever get lost through its functions. The API is intuitive and as a result, IVT is an easy to understand and easy to use tool. Keep in mind that you don’t need to be tech savvy in order to use integrating Vision Toolkit. An efficient source code is nothing without good readability, right? Well, IVT shines in this aspect as it offer very good readability. Thus it can be used in educational purposes.

Secondly, two of the main strengths of IVT are its portability and compatibility. The camera interface of IVT is clean and you get lots camera modules such as Videre, PointGrey Dragonfly/BumbleBee that are ready to use. IVT offer support for many platforms like Linux, Mac OS X and Windows. You can also create computer vision applications from an imaging device due to a camera model that’s fully integrated.

Let’s analyze some of IVT’s features. Speed is an important feature for every C library. The implementations of the image processing routines in IVT are fast and optimized, ensuring your development is fast and reliable. Features like undistortion, the Harris Corner Detector, a rectification that’s combined, filters such as resize, drawing , Bayer2RGB, SVD ,RGB2HSV, PCA, Linear Least Squares and a lot more make IVT one of the most complete and complex C libraries out there. Other functionality includes the implementation of color segmentation, point operations such as affine and thresholding, POSIT and a lot more. For a full list, you should visit the official website.

All in all, Integrating Vision Toolkit is easily one of the best C++ libraries in the world. It’s complex and at the same time easy to use. It’s complete and easy to install and set up. Its source code is fast and intuitive. These are the advantages of using Integrating Vision Toolkit. It can also act as an educational tool besides its main role of a development library. The best C++ library – without a doubt!