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

doi:10.1109/ACCESS.2018.2801028

	Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit
	Khan, Dawar1,2,3 ; Ullah, Sehat 3; Yan, Dong-Ming1,2 ; Rabbi, Ihsan 3; Richard, Paul 4; Hoang, Thuong 4; Billinghurst, Mark 5; Zhang, Xiaopeng1,2 ; Sehat Ullah and XIAOPENG ZHANG
发表期刊	IEEE ACCESS
	2018
卷号	6 期号:1 页码:22421-22433
文章类型	Article
摘要	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.
关键词	Fiducial Markers Artoolkit Augmented Reality Marker Tracking Robust Recognition
WOS标题词	Science & Technology ; Technology
DOI	10.1109/ACCESS.2018.2801028
关键词[WOS]	AUTOMATIC-GENERATION
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61772523 ; Chinese Government Scholarship ; 61620106003 ; 61331018)
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000432577200001
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21477
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Sehat Ullah and XIAOPENG ZHANG
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Malakand, Dept Comp Sci & IT, Chakdara 18800, Pakistan 4.Univ Angers, Lab Angevin Rech Ingn Syst, F-49035 Angers, France 5.Univ South Australia, Sch ITMS, Adelaide, SA 5095, Australia
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Khan, Dawar,Ullah, Sehat,Yan, Dong-Ming,et al. Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit[J]. IEEE ACCESS,2018,6(1):22421-22433.
APA	Khan, Dawar.,Ullah, Sehat.,Yan, Dong-Ming.,Rabbi, Ihsan.,Richard, Paul.,...&Sehat Ullah and XIAOPENG ZHANG.(2018).Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit.IEEE ACCESS,6(1),22421-22433.
MLA	Khan, Dawar,et al."Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit".IEEE ACCESS 6.1(2018):22421-22433.

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