Marker Detection Optimization
Marker Detection Optimization is a methodological framework within augmented reality systems that enhances the efficiency and accuracy of identifying visual markers by minimizing computational overhead and maximizing robustness under varying environmental conditions.
11
Publications
442
Citations
42
Authors
16
Institutions
Publications per year
2017–2026
3
11
David McGookin, Euan G. Robertson, Stephen Brewster · 2010 · 108 citations
Arts, Design, Visualization +14
Aart J. Nederveen, J J W Lagendijk, Pieter Hofman · International Journal of Radiation Oncology*Biology*Physics · 2000 · 91 citations
Marker Detection for Augmented Reality Applications
Martin Hirzer · 2008 · 51 citations
1–5 of 11
42
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Korea Advanced Institute of Science and Technology, South Korea
1 publications · 14 citations
1
h-index
1–5 of 42
16
The University of Osaka
Osaka, Japan
1 h-index
3 publications
84 citations

University of Glasgow
Glasgow, United Kingdom
1 h-index
3 publications
324 citations
Hôtel-Dieu de Québec
Québec, Canada
1 h-index
10 publications
330 citations

Université Laval
Québec, Canada
1 h-index
10 publications
330 citations
Centre hospitalier universitaire de Québec
Québec, Canada
1 h-index
10 publications
330 citations

Leiden University Medical Center
Leiden, The Netherlands
1 h-index
5 publications
285 citations
University Medical Center Utrecht
Utrecht, The Netherlands
1 h-index
3 publications
273 citations
Netherlands Federation of University Medical Centres
Utrecht, Netherlands
1 h-index
1 publications
91 citations
1–8 of 16
1 publications · 91 citations
1
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1 publications · 57 citations
1
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1 publications · 33 citations
1
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TOG · 1 publications · 14 citations
1
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1 publications · 12 citations
1
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