Open Source BSD AR Development Software

The Augmented Reality Tool Kit (ARToolKit) captures images from video sources, optically tracks markers in the images, and composites them with computer-generated content using OpenGL. Dual-licensed, under the GPL, plus commercially by ARToolworks, Inc. NEW: A free demonstration of ARToolKit capabilities has been made available as part of ARToolworks "Codex Interactivus: Bringing Leonardo to Life!" Kickstarter project. Download from https://www.kickstarter.com/projects/artoolworks/codex-interactivus-bringing-leonardo-to-life/

Minerva is a multiplatform framework that provides a high level language to specify Augmented Reality applications in a very easy way, equivalent to Blender GameEngine. More info, please visit theminervaproject.wordpress.com

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...

IrrAR is a combination of Irrlicht and Augmented Reality to create the most rapid development platform for augmented reality at the moment. IrrAR creates 3D "nodes" out of real lifer markers to let you insert your 3d world into the real world.

The open source augmented reality server, or POI (Point of Interest) search. In its simplest form, it takes a database of points with latitude/longitude, and a search request at a given latitude/longitude, and returns the points sorted by distance.

OpenCV-AR is a software library used for Augmented Reality development. It is targeted on Linux, though it is also able to work on Windows platform. It is an alternative to ARToolKit for Augmented Reality application development.

A new academic framework for augmented reality based on QVision and OpenCV. The project includes augmented reality detectors based on black&white patterns and natural features.

This project aims to develop an interaction framework based on body detection by webcams, identifying the skeleton shape (hands, arms, head, legs etc), for games, virtual reality, augmented reality and other applications.