Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit
文献类型：期刊论文
| 作者 | 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
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| 刊名 | IEEE ACCESS
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| 出版日期 | 2018 |
| 卷号 | 6期号:1页码:22421-22433 |
| 关键词 | Fiducial Markers Artoolkit Augmented Reality Marker Tracking Robust Recognition |
| DOI | 10.1109/ACCESS.2018.2801028 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | AUTOMATIC-GENERATION |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000432577200001 |
| 资助机构 | National Natural Science Foundation of China(61772523 ; Chinese Government Scholarship ; 61620106003 ; 61331018) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/21477]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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