{"title":"OILU Tag: A Projective Invariant Fiducial System","authors":"Youssef Chahir, Messaoud Mostefai, Salah Khodja","volume":177,"journal":"International Journal of Computer and Information Engineering","pagesStart":531,"pagesEnd":536,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10012229","abstract":"<p>This paper presents the development of a 2D visual marker, derived from a recent patented work in the field of numbering systems. The proposed fiducial uses a group of projective invariant straight-line patterns, easily detectable and remotely recognizable. Based on an efficient data coding scheme, the developed marker enables producing a large panel of unique real time identifiers with highly distinguishable patterns. The proposed marker Incorporates simultaneously decimal and binary information, making it readable by both humans and machines. This important feature opens up new opportunities for the development of efficient visual human-machine communication and monitoring protocols. Extensive experiment tests validate the robustness of the marker against acquisition and geometric distortions.<\/p>","references":"[1]\tSarmadi H, et al., 3D Reconstruction and alignment by consumer RGB-D sensors and fiducial planar markers for patient positioning in radiation therapy, Computer Methods and Programs in Biomedicine. 2019.\r\n[2]\tF.-E. Ababsa and M. Mallem, Robust camera pose estimation using 2D fiducials tracking for real-time augmented reality systems, in Proc. ACM SIGGRAPH Int. Conf. (VRCAI), 2004, pp. 431-435. \r\n[3]\tN. Mohammad et al., Automated Localization of UAVs in GPS-Denied Indoor Construction Environments Using Fiducial Markers, 2018.\r\n[4]\tJ. Wubben et al., Accurate Landing of UAV Using Ground Pattern Recognition. Electronics 2019, 8, 1532.\r\n[5]\tE. 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