Publication detail

Design and Detection of Local Geometric Features for Deformable Marker Fields

HORVÁTH, Z. HEROUT, A. SZENTANDRÁSI, I. ZACHARIÁŠ, M.

Original Title

Design and Detection of Local Geometric Features for Deformable Marker Fields

English Title

Design and Detection of Local Geometric Features for Deformable Marker Fields

Type

conference paper

Language

en

Original Abstract

This paper sketched out the concept of the Honeycomb Marker Fields - a highly deformable and occlusion-tolerant marker field. We focused on the design of the Y-junctions, the visual image features which appear between the modules (cells) of the marker field. As the main contribution, we presented an algorithm for real-time and robust detection of the Y-junctions, and its experimental evaluation. The specialized Y-junction detection algorithm outperforms a general interest point detector (FAST) in the detection performance. The measurements thus lead to conclusion that for applications which can accept a marker field as a fiduciary pattern, the reliability and performance can be significantly improved. Based on the presented detector of Y-junctions and the preliminary HMF detector, we plan for the closest future to construct a robust and fast detector of the marker field and showcase it on selected applications. Thanks to the performance of the Y-junction detector, the algorithm is expected to be functional on today's ultramobile devices. The next step thus will be to implement it for some of the popular smartphone platforms.

English abstract

This paper sketched out the concept of the Honeycomb Marker Fields - a highly deformable and occlusion-tolerant marker field. We focused on the design of the Y-junctions, the visual image features which appear between the modules (cells) of the marker field. As the main contribution, we presented an algorithm for real-time and robust detection of the Y-junctions, and its experimental evaluation. The specialized Y-junction detection algorithm outperforms a general interest point detector (FAST) in the detection performance. The measurements thus lead to conclusion that for applications which can accept a marker field as a fiduciary pattern, the reliability and performance can be significantly improved. Based on the presented detector of Y-junctions and the preliminary HMF detector, we plan for the closest future to construct a robust and fast detector of the marker field and showcase it on selected applications. Thanks to the performance of the Y-junction detector, the algorithm is expected to be functional on today's ultramobile devices. The next step thus will be to implement it for some of the popular smartphone platforms.

Keywords

augmented reality, deformable marker field, local geometric features

RIV year

2013

Released

01.05.2013

Publisher

Comenius University in Bratislava

Location

Bratislava

ISBN

978-80-223-3377-1

Book

Proceedings of 29th Spring conference on Computer Graphics

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

85

Pages to

92

Pages count

8

Documents

BibTex


@inproceedings{BUT103503,
  author="Zsolt {Horváth} and Adam {Herout} and István {Szentandrási} and Michal {Zachariáš}",
  title="Design and Detection of Local Geometric Features for Deformable Marker Fields",
  annote="This paper sketched out the concept of the Honeycomb Marker Fields - a highly
deformable and occlusion-tolerant marker field. We focused on the design of the
Y-junctions, the visual image features which appear between the modules (cells)
of the marker field. As the main contribution, we presented an algorithm for
real-time and robust detection of the Y-junctions, and its experimental
evaluation. The specialized Y-junction detection algorithm outperforms a general
interest point detector (FAST) in the detection performance. The measurements
thus lead to conclusion that for applications which can accept a marker field as
a fiduciary pattern, the reliability and performance can be significantly
improved. Based on the presented detector of Y-junctions and the preliminary HMF
detector, we plan for the closest future to construct a robust and fast detector
of the marker field and showcase it on selected applications. Thanks to the
performance of the Y-junction detector, the algorithm is expected to be
functional on today's ultramobile devices. The next step thus will be to
implement it for some of the popular smartphone platforms.",
  address="Comenius University in Bratislava",
  booktitle="Proceedings of 29th Spring conference on Computer Graphics",
  chapter="103503",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Comenius University in Bratislava",
  year="2013",
  month="may",
  pages="85--92",
  publisher="Comenius University in Bratislava",
  type="conference paper"
}