AR (Augmented Reality) works on the principle of a target being scanned, this being compared to a database, then something happening in response to this recognition.
· Target object: an image in a magazine, picture on a wall, photograph.
· Reference image: the image stored on the database that the target will be compared to.
· Fingerprint: the details that are used in the image to compare target to reference.
Like a human finger print the more details and complexity the better the detection. Things with repeating patterns, low detail and low contrast do not work well. But things that are very complex don't work either as it takes too long for the database to compare, so a balance needs to be struck.
Alternatively AR can be triggered by location when location services are enabled on your device. The grid location is stored on the database and when your device detects it is in that location information is fed to you. These are called GeoPOIs (geographic points of interest).
A Geo POI can be combined with an image to recognise a specific place for an event to happen.
With AR the content is delivered through the app and so the viewer only receives the content you want them to have.
Immersive Learning Experiences Through Augmented Reality Naace research paper
Feltag Horizon Scanning Report AR specifically considered on p23
Webinar Recording 18/12/2012 Making more of you print
Webinar Recording 03/06/2014 Learning Providers as MakARs (Note this is via Blackboard Collaborate and you will need to download a small temporary client file to run)