Augmented Reality on a Gadget

What we typically call an Augmented Reality app on a smartphone or a touchpad device is built the following way: it captures the video stream provided by the built-in camera, transforms it, and delivers the output stream to the screen. The process of ‘transformation’ generally includes detection of a known object (marker) in the input stream, calculating its position in the 3D scene geometry, overlaying the scene with an artificial 3D model, placed at the right position and angles, and putting all this together. Depending on the application, the model can be static or dynamic, interactive or not, etc.
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DataArt Computer Vision Team has Created an All-custom Augmented Reality Engine Prototype

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Augmented reality example in Cactus.AR app
Following a CV-related inquiry, the computer vision team at Dataart created a custom solution for detecting, capturing, and tracking visual markers from a real time video stream. What is usually called Augmented Reality and typically associated with a 3rd party ‘black box’ which does all the complicated spatial job, is now modeled and implemented from scratch by DataArt, with all the 3D mathematics created by researches and ported and implemented by developers.
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