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Article dans une revue

Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit

Abstract : Fiducial markers are images or landmarks placed in real environment, typically used for pose estimation and camera tracking. Reliable fiducials are strongly desired for many augmented reality (AR) applications, but currently there is no systematic method to design highly reliable fiducials. In this paper, we present fiducial marker optimizer (FMO), a tool to optimize the design attributes of ARToolKit markers, including black to white (B:W) ratio, edge sharpness, and information complexity, and to reduce inter-marker confusion. For these operations, the FMO provides a user friendly interface at the front-end and specialized image processing algorithms at the back-end. We tested manually designed markers and FMO optimized markers in ARToolKit and found that the latter were more robust. The FMO will be used for designing highly reliable fiducials in easy to use fashion. It will improve the application's performance, where it is used.
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https://hal.univ-angers.fr/hal-02528733
Contributeur : Okina Université d'Angers <>
Soumis le : mercredi 1 avril 2020 - 23:40:44
Dernière modification le : mardi 21 juillet 2020 - 09:26:17

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Dawar Khan, Sehat Ullah, Dong Yan, Ihsan Rabbi, Paul Richard, et al.. Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit. IEEE Access, IEEE, 2018, 6, pp.22421--22433. ⟨10.1109/ACCESS.2018.2801028⟩. ⟨hal-02528733⟩

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