Paper Info
Title
Automatic generation and detection of highly reliable fiducial markers under occlusion
Abstract
This paper presents a fiducial marker system specially appropriated for camera pose estimation in applications such as augmented reality and robot localization. Three main contributions are presented. First, we propose an algorithm for generating configurable marker dictionaries (in size and number of bits) following a criterion to maximize the inter-marker distance and the number of bit transitions. In the process, we derive the maximum theoretical inter-marker distance that dictionaries of square binary markers can have. Second, a method for automatically detecting the markers and correcting possible errors is proposed. Third, a solution to the occlusion problem in augmented reality applications is shown. To that aim, multiple markers are combined with an occlusion mask calculated by color segmentation. The experiments conducted show that our proposal obtains dictionaries with higher inter-marker distances and lower false negative rates than state-of-the-art systems, and provides an effective solution to the occlusion problem.
Year
DOI
Venue
2014
10.1016/j.patcog.2014.01.005
Pattern Recognition
Keywords
Field
DocType
effective solution,augmented reality,configurable marker dictionary,fiducial marker system,reliable fiducial marker,maximum theoretical inter-marker distance,higher inter-marker distance,automatic generation,inter-marker distance,occlusion problem,augmented reality application,occlusion mask,computer vision,fiducial marker
Computer vision,Robot localization,Fiducial marker,Occlusion,Pattern recognition,Segmentation,Computer science,Pose,Augmented reality,Artificial intelligence,Multiple markers,Binary number
Journal
Volume
Issue
ISSN
47
6
0031-3203
Citations 
PageRank 
References 
161
6.63
11
Authors
4
Search Limit
100161
Name
Order
Citations
PageRank
S. Garrido-Jurado124611.05
R. Muñoz-Salinas230413.89
F. J. Madrid-Cuevas349825.10
Manuel J. Marín-Jiménez472041.48