Integrating Vision Toolkit

The Integrating Vision Toolkit ( IVT) is a free library with functions for computer vision and pattern recognition. It has an en suite, available for multiple platforms toolkit for developing graphical user interfaces.

The IVT provides interfaces for different cameras, you can calibrate your camera, filter the image segmentation by color, analyze stereo images, image features extract (English " feature extraction " ) and much more.

Availability

The library is available as free software in the source code under a three claus time BSD license. It is written in ANSI C pure and compilable with all available C compilers. It is available cross-platform and runs on any platform for which a C compiler is available, including Windows, Mac OS X and Linux. The included GUI toolkit provides implementations for Windows (Win32 API), Linux ( GTK ), Mac OS X ( Cocoa ) and Qt.

History

The IVT was at the University of Karlsruhe (TH ), today's Karlsruhe Institute of Technology ( KIT), developed. The first version of IVT was published on 22 December 2005 on Sourceforge.

Relationship with OpenCV

In comparison with the OpenCV IVT provides an object-oriented software architecture, and is easier to read and usable. The implementations are of comparable or higher speed. However, OpenCV provides functionality that can miss the IVT (for example, face recognition). Derlei functionality can be integrated with optional OpenCV wrapper.