Search Results for "aosp-project-mido"

ATOMIC is a Cross-platform Authoring Tool software for Augmented Reality Applications Is a Front-end for the ARToolKit library , developed for non-programmers, for create small and simple, AR applications. + info: www.sologicolibre.org/en/

This project enables developers to build XR experiences using the same code that runs on the web. Exokit engine is written on top of Node and emulates a web browser, providing native hooks for WebGL, WebXR, WebAudio, and other APIs used in immersive experiences. The future is immersive. The web is the best application platform. Javascript is the best ecosystem.

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,...

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 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.

...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/

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.