New publication features Artcodes as a case for study!

Topological Structure Description for Artcode Detection Using the Shape of Orientation Histogram, Liming Xu, Dave Towey, Andrew P French and Steve Benford  uses Artcodes as a case for study.

Abstract:

The increasing ubiquity of smartphones and resurgence of VR/AR techniques, it is expected that our everyday environment may soon be decorating with objects connecting with virtual elements. Alerting to the presence of these objects is therefore the first step for motivating follow-up further inspection and triggering digital material attached to the objects. This work studies a special kind of these objects — Artcodes — a human-meaningful and machine-readable decorative markers that camouflage themselves with freeform appearance by encoding information into their topology. We formulate this problem of recognising the presence of Artcodes as Artcode proposal detection, a distinct computer vision task that
classifies topologically similar but geometrically and semantically different objects as a same class. To deal with this problem, we propose a new feature descriptor, called the shape of orientation histogram, to describe the generic topological structure of an Artcode. We collect datasets and conduct comprehensive experiments to evaluate the performance of the Artcode detection proposer built upon this new feature vector. Our experimental results show the feasibility of the proposed feature vector for representing topological structures and the effectiveness of the system for detecting Artcode proposals. Although this work is an initial attempt to develop a feature-based system for detecting topological objects like
Artcodes, it would open up new interaction opportunities and spark potential applications of topological object detection.