Open Source C++ Computer Vision Libraries for Windows

The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! https://docs.opencv.org/master Books about the OpenCV are described here: https://opencv.org/books.html

reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.

LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...

The Integrating Vision Toolkit (IVT) is a powerful and fast C++ computer vision library with an easy-to-use object-oriented architecture. It offers its own multi-platform GUI toolkit. OpenCV is integrated optionally. Website: http://ivt.sourceforge.net

SITPLUS is a free software framework whose main goal is to provide recreational activities for people with multiple disabilities. It offers new forms of interaction based on computer vision, voice and other peripherals.

A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.

Computer Vision library using GPU environment acceleration. Based on openCV and openGL

Igovision is an experimental project investigating applications of computer vision technology to the board game Go.

i3D-converter creates a 3D representation from a couple of images (or a pair of stereo images). This program also performs other Computer Vision operations such as, edge and corner detection, image filtering, getting geometric shapes,...

A C++ library of high level motion analysis/computer vision functions, coupled with GUIs that allow easy configuration and use. Current development focuses on color tracking, multiple camera calibration and triangulation, and 3D tracking algorithms.

A collection of user contributed applications which use the Open Computer Vision Library

This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc...

General C++ Library, with modules for Computer Vision, Pattern Recognition and much more.

Facis is a computer vision project based on OpenCV. It enables face detection and identification.

C++ library that implements basic data structures and algorithms for computer vision and image processing applications

ViKi (Virtual Interactive keyboard Interface) is a global framework that enables contactless human machine interaction using computer vision techniques. Only a simple webcam is sufficient to emulate traditional devices such as mouse and keyboard do.

QCV is a Qt-based computer vision framework library that provides an easy to use interface to display, analyze and run computer vision algorithms. The library is provided with practical examples to show what you can do with just a few lines of code. OpenCV is used as the supporting computer vision library. QCV provides interfaces for C and C++. The C interface is a set of simple function calls to allow the user to visualize data and obtain events from the system and user input. The C++ interface has more features allowing the user to run and analyze complex computer vision algorithm in a few lines of code (see the stereo and surf examples). QCV offers a 2D visualization tool, an on-line on-the-fly parameter editor, a clock tool to evaluate computation times, and a control tool to manipulate input video and sequences of images. Multiple application examples that demonstrate the main features of this framework are provided in the last release. Check it out!

This projects aim is to create an easy to use system for computer perception and computer vision tasks. It consists of three parts; a computer perception library (libCP), a processor based framework, and a graphical userinterface.