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Journal Article Strategy for Creating AR Applications in Static and Dynamic Environments Using SLAM- and Marker Detector-Based Tracking
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Authors
Chanho Park, Hyunwoo Cho, Sangheon Park, Sung-Uk Jung, Suwon Lee
Issue Date
2022-01
Citation
Computer Modeling in Engineering & Sciences, v.131, no.1, pp.529-549
ISSN
1526-1492
Publisher
Tech Science Press
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.32604/cmes.2022.019214
Abstract
Recently, simultaneous localization andmapping (SLAM) has received considerable attention in augmented reality (AR) libraries and applications. Although the assumption of scene rigidity is common in most visual SLAMs, this assumption limits the possibilities of ARapplications in various real-world environments. In this paper,we propose a new tracking systemthat integrates SLAMwith a marker detection module for real-Time AR applications in static and dynamic environments. Because the proposed system assumes that the marker is movable, SLAM performs tracking andmapping of the static scene except for the marker, and themarker detector estimates the 3-dimensional pose of the marker attached to the dynamic object. We can place SLAM maps, cameras, and dynamic objects (markers) on the same coordinate system, and we can also accurately augment AR resources in real-Time on both the static scene and dynamic objects simultaneously. Additionally, having a static map of the scene in advance has the advantage of being able to performtracking of static and dynamic environments with mapping disabled. In this paper, we evaluate whether the proposed tracking system is suitable for AR applications and describe a strategy for creating AR applications in static and dynamic environments with a demonstration.
KSP Keywords
3-dimensional, AR applications, Augmented reality(AR), Coordinate system, Dynamic Environment, Real-Time, Real-world, Static and dynamic, Static map, Tracking System, dynamic object
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY