Treffer: Dependable coding of fiducial tags

Title:
Dependable coding of fiducial tags
Source:
UCS 2004 : ubiquitous computing systems (Tokyo, 8-9 November 2004, revised selected papers)Lecture notes in computer science. :259-274
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratory for Communication Engineering*, Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, United Kingdom
Department of Pure Mathematics and Mathematical Statistics, Centre for Mathematical Sciences, University of Cambridge, CB3 0WB, United Kingdom
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17027222
Database:
PASCAL Archive

Weitere Informationen

Fiducial tags can be recognised 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.