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ArUco is a minimal library for Augmented Reality applications based exclusively on OpenCV. Relies on b/w markers with codes that are detected by calling a single function. Trivial integration of your augmented reality applications with OpenGL and OGRE.
See documentation at https://drive.google.com/file/d/1OiavRVYVJ-WH88sQg1LUsh8CuJZUQyrX/view?usp=sharing
Computer vision and image processing library for Qt.
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,...
SudaRA is a C++ framework based on ARToolKit for development of Augmented Reality applications, offering features such as support for 3D models, sound, network, multiple-marker tracking, among others through a simple and well-structured interface.
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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.
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.
AMIRE is a project about the efficient creation and modification of augmented reality (AR) and mixed reality (MR) applications. AMIRE provides the tools for authoring AR/MR applications based on a library of Components.