Optimized methodologies for augmented reality markers based localization
文献类型：会议论文
| 作者 | Wing Kwong Chung; Ning Cui; Xu Chen; Tin Lun Lam; Yangsheng Xu; Yongsheng Ou |
| 出版日期 | 2014 |
| 会议名称 | 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 |
| 会议地点 | Bali, Indonesia |
| 英文摘要 | Localization is one of the key research topics in robotics. Although computer vision based methodologies such as Augmented Markers provides a realtimelocalization approach, the sensing range and localization accuracy are the main limitations for applications. In this paper, we proposed the use of a problem solving tool, TRIZ to overcome these limitations. Among the tools provided by TRIZ, we illustrated the selection of principles for problem solving. To enhance the sensing range, a novel AR marker is presented. To improve the localizationaccuracy, we presented the use of an AR polyhedron for system localization. With the use of an AR cube for illustration, we further developed a new optimization strategy. It is a weighted sum method which aims to optimize the position of the AR cube by considering the orientation of different AR markers captured by a camera. To evaluate the proposed methods, different experiments have been conducted including static and dynamic localizations. Results show that the proposed solutions and strategy can significantly improve the sensing range and accuracy of the conventional AR localization system. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5667]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Wing Kwong Chung,Ning Cui,Xu Chen,et al. Optimized methodologies for augmented reality markers based localization[C]. 见:2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014. Bali, Indonesia. |
入库方式： OAI收割
来源：深圳先进技术研究院
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