Accuracy Analysis of Marker-Based 3D Visual Localization

Loading...
Thumbnail Image

Identifiers

Publication date

Authors

López-Cerón, Alberto
Cañas, José María

Advisors

Other responsabilities

Journal Title

Bibliographic citation

López-Cerón, A., Cañas, J.M. Accuracy analysis of marker-based 3D visual localization. En Actas de las XXXVII Jornadas de Automática. 7, 8 y 9 de septiembre de 2016, Madrid (pp. 1124-1131). DOI capítulo: https://doi.org/10.17979/spudc.9788497498081.1124 DOI libro: https://doi.org/10.17979/spudc.9788497498081

Type of academic work

Academic degree

Abstract

[Abstract] 3D localization from images is an useful capability for robots and cameras. One successful approach is to rely on visual SLAM techniques. Another approach, maybe more robust, is to use visual markers in the environment. In this paper a study about the accuracy of marker based visual 3D localization is presented, using AprilTags markers and the solvepnp algorithm in OpenCV library. The impact of distance to markers, number of markers, their position in the image on accuracy of the 3D estimated pose is experimentally measured and analyzed.

Description

Rights

Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)

Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)