Search Results for "application app development"
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Showing 7 open source projects for "application app 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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A.R.E.A.
Augmented Reality Expert Assistant
AREA is an expert assistant that allows you to offer to your clients or audience information about your brand, localization, event and more, all in one mobile app. Just use our webpage to create your entire assistant and once you are glad with the result, extend the code, configure your assistant and compile your finished mobile assistant. -
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Framework of Augmented Reality for Android. With Look! you can create an app in minutes. Its features are 3D, 2D, camera, remote services, Location Indoor.
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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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