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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
Descripción
Sumario: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.