Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit
Khan, Dawar1,2,3; Ullah, Sehat3; Yan, Dong-Ming1,2; Rabbi, Ihsan3; Richard, Paul4; Hoang, Thuong4; Billinghurst, Mark5; Zhang, Xiaopeng1,2; Sehat Ullah and XIAOPENG ZHANG
2018
发表期刊IEEE ACCESS
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
DOI10.1109/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:1[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
专题模式识别国家重点实验室_多媒体计算与图形学
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
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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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