Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/23890
Title: Detection of Aruco Markers Using the Quadrilateral Sum Conjuncture
Author: Ferrão, José
Dias, Paulo
Neves, António J. R.
Keywords: Computer vision
Aruco
Digital images
Marker detection
Robotics
Issue Date: Jun-2018
Publisher: Springer Verlag
Abstract: Fiducial Markers are heavily used for pose estimation in many applications from robotics to augmented reality. In this paper we present an algorithm for the detection of aruco marker at larger distance. The algorithm uses the quadrilateral sum conjecture and analyzes the sum of the cosine of the internal angles to detect squares at larger distances. Experiments conducted showed that the developed solution was able to improve the detection distance when compared to other methods that use similar marker while keeping similar pose estimation precision.
Peer review: yes
URI: http://hdl.handle.net/10773/23890
DOI: 10.1007/978-3-319-93000-8_41
ISSN: 0302-9743
Appears in Collections:DETI - Artigos
IEETA - Artigos

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