Abstract
Fiducial tags can be recognized successfully and decoded
by computer vision systems in order to produce
location information. We term a system dependable
if its observable results are predictable and repeatable.
The dependability of such a vision system is fundamentally
dependent on the scheme used to encode data on
the tag. We show that the rotational symmetry common
to many tag designs requires particular consideration
in order to understand the performance of the coding
schemes when errors occur. We develop an abstract
representation of tags carrying symbolic data which allows
existing information coding techniques to achieve
robust codes. An error-correcting coding scheme is presented
for carrying arbitrary symbolic data in a dependable
vision system.
Full details
See Andrew Rice and Christopher Cain and John Fawcett, Dependable Coding of Fiducial Tags. Ubiquitous Computing Symposium, Pages 155-163, October 2004.
