Abstract

Interactive markers, from barcodes to QR codes, are now commonplace in the world around us. We see them on public transport, in shops, in restaurants, on products. Unfortunately, they are also basically ugly: designed to encode many bits and be robustly detectable by any reader in different environments, they are unwelcome in many environments. Image detection is an alternative approach but relies on recognising a relatively small set of predetermined images. In this research we explore encoding information in the topographic structure of the image, refining the approach taken by Costanza et al in the d-touch system. I will describe work we have done over the past three years in the Aestheticodes project to refine d-touch, to implement our system as iPhone and Android apps, and to work with a range of partners to create and deploy Aestheticodes in a variety of materials and contexts. I will also talk about some of the work that is currently ongoing.

And if anyone would like to have a go creating some Aestheticodes, bring your drawing implements of choice and install our app!