Publication Details
Uniform Marker Fields: Camera Localization By Orientable De Bruijn Tori
Zachariáš Michal, Ing., Ph.D. (DCGM)
Havel Jiří, Ing., Ph.D. (CM-SFE)
Herout Adam, prof. Ing., Ph.D. (DCGM)
Juránková Markéta, Ing., Ph.D. (DCGM)
Kajan Rudolf, Ing., Ph.D.
Fiduciary Markers, Nested Marker, Seamless Marker, Overlapping Markers, Camera
Localization, Augmented Reality, De-Bruijn Tori, Genetic Algorithm, Perfect Maps,
UMF
In various applications, a wider area needs to be covered by fiduciary markers
but a large marker cannot be used because only a fraction of the area is to be
viewed by the camera. Such an area can be covered by a number of small markers
with unique identifiers. However, with the camera freely moving in the scene and
with occluders present, it is difficult to ensure that at least one of the
individual markers is completely visible, unless the markers are small and
numerous. In that case, the markers are not recognizable from larger distances.
In this paper we introduce the concept of Marker Fields which overcome this
limitation. The Marker Field covers a large-scale planar (or non-planar) area and
it is composed of mutually overlapping partial markers. We propose a particular
arrangement of the Marker Field: a Uniform Checker-Board Marker Field, which is
a black-and-white checkerboard whose square modules are defined by aperiodic
4-orientable binary (n,n)-window arrays (De Bruijn tori). We propose a genetic
algorithm for construction of 4-orientable (n,n)-window arrays.
We used a supercomputer to synthesize large 4-orientable (n,n)-window arrays and
offer them publicly for downloading. We prototyped an algorithm for detection of
the checkerboard marker fields and measured its performance. When processing
input video from a cellphone camera, the algorithm visits only about 5% of image
pixels for reliable detection and the processing time is about 1ms on a mid-range
PC processor.
The Uniform Marker Field increases freedom of camera movement, especially with
occluders present in the scene. The detection algorithm is efficient and
real-time marker field detection will be feasible on ultramobile devices.
@inproceedings{BUT97028,
author="István {Szentandrási} and Michal {Zachariáš} and Jiří {Havel} and Adam {Herout} and Markéta {Juránková} and Rudolf {Kajan}",
title="Uniform Marker Fields: Camera Localization By Orientable De Bruijn Tori",
booktitle="Proceedings of the 2012 11th IEEE International Symposium on Mixed and Augmented Reality",
year="2012",
pages="1--2",
publisher="Institute of Electrical and Electronics Engineers",
address="Atlatnta, Georgia",
isbn="978-1-4673-4661-0"
}