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Order type dataset analysis for fiducial markers

Order Type (OT) describes a point set avoiding the use of metric information. We show that OT is a descriptor which is invariant to Euclidean geometric transformations, change of scale and perspective projection. In this paper we provide the data related to the application of Order Type with sets of...

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Detalles Bibliográficos
Autores principales: Cruz Hernández, Heriberto, de la Fraga, Luis Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139888/
https://www.ncbi.nlm.nih.gov/pubmed/30225323
http://dx.doi.org/10.1016/j.dib.2018.08.126
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author Cruz Hernández, Heriberto
de la Fraga, Luis Gerardo
author_facet Cruz Hernández, Heriberto
de la Fraga, Luis Gerardo
author_sort Cruz Hernández, Heriberto
collection PubMed
description Order Type (OT) describes a point set avoiding the use of metric information. We show that OT is a descriptor which is invariant to Euclidean geometric transformations, change of scale and perspective projection. In this paper we provide the data related to the application of Order Type with sets of 5, 6, 7, and 8 points to build fiducial markers. The OT is represented through a [Formula: see text]-matrix. We provide the set of points which are suitable to solve directly the point matching, because these have a unique associated [Formula: see text]-matrix. We provide maximal perturbation data for all set of points, maximal perturbation is the radius of the circle, centered in each point in the set, inside which each point can be moved without changing its associated OT. Also we provide the scripts to validate the use of OT in fiducial markers.
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spelling pubmed-61398882018-09-17 Order type dataset analysis for fiducial markers Cruz Hernández, Heriberto de la Fraga, Luis Gerardo Data Brief Computer Science Order Type (OT) describes a point set avoiding the use of metric information. We show that OT is a descriptor which is invariant to Euclidean geometric transformations, change of scale and perspective projection. In this paper we provide the data related to the application of Order Type with sets of 5, 6, 7, and 8 points to build fiducial markers. The OT is represented through a [Formula: see text]-matrix. We provide the set of points which are suitable to solve directly the point matching, because these have a unique associated [Formula: see text]-matrix. We provide maximal perturbation data for all set of points, maximal perturbation is the radius of the circle, centered in each point in the set, inside which each point can be moved without changing its associated OT. Also we provide the scripts to validate the use of OT in fiducial markers. Elsevier 2018-08-31 /pmc/articles/PMC6139888/ /pubmed/30225323 http://dx.doi.org/10.1016/j.dib.2018.08.126 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Cruz Hernández, Heriberto
de la Fraga, Luis Gerardo
Order type dataset analysis for fiducial markers
title Order type dataset analysis for fiducial markers
title_full Order type dataset analysis for fiducial markers
title_fullStr Order type dataset analysis for fiducial markers
title_full_unstemmed Order type dataset analysis for fiducial markers
title_short Order type dataset analysis for fiducial markers
title_sort order type dataset analysis for fiducial markers
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139888/
https://www.ncbi.nlm.nih.gov/pubmed/30225323
http://dx.doi.org/10.1016/j.dib.2018.08.126
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