Search Results for "rapid application development"
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Showing 6 open source projects for "rapid application development"
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ArUco
Augmented reality library based on OpenCV
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 -
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OSAR Appliances
The OSAR Linux Image for Augmented Reality and Computer Vision
The OpenSUSE Augmented Reality (OSAR) distribution is the first GNU / Linux appliance created for the exclusive development of applications with augmented reality technology and games with computer vision. -
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HMD testbed - augmented reality test
test head mounted display for Augmented Reality applications
This application is a simple text label editor and viewer on the second dispaly port. The main usage is for testing text styles on video see trought head mounted display (es. google glasses). If you use it please cite our paper: Michele Fiorentino* Saverio Debernardis Antonio E. Uva Giuseppe Monno, Augmented Reality Text Style Readability with See-Through Head-Mounted Displays In Industrial Context, Presence, Vol. 22, No. 2, Spring 2013, 000–000... -
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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.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Fusion of ARToolkit and Ogre3D, SimpleAugmentedReality is a augmented reality application which can display a 3D model over a live video stream from a webcam. Tracking of the object is handle by ARToolkit pattern.
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Based on augmented reality concept, this project emulates a (multi) mouse behavior. This C++/Qt software allows controlling an application through the movements of tokens on a table captured by an IEEE 1394 based digital camera.
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