An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map
文献类型：期刊论文
| 作者 | Wang, Chenliang1; Huang, Kejia2; Shi, Wenjiao1 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 11期号:7页码:25 |
| 关键词 | AR-GIS vector map geovisualization quaternion AR sandbox |
| DOI | 10.3390/ijgi11070383 |
| 通讯作者 | Huang, Kejia(huangkejia@supermap.com) |
| 英文摘要 | Increasingly complex vector map applications and growing multi-source spatial data pose a serious challenge to the accuracy and efficiency of vector map visualization. It is true especially for real-time and dynamic scene visualization in mobile augmented reality, with the dramatic development of spatial data sensing and the emergence of AR-GIS. Such issues can be decomposed into three issues: accurate pose representation, fast and precise topological relationships computation and high-performance acceleration methods. To solve these issues, a novel quaternion-based real-time vector map visualization approach is proposed in this paper. It focuses on precise position and orientation representation, accurate and efficient spatial relationships calculation and acceleration parallel rendering in mobile AR. First, a quaternion-based pose processing method for multi-source spatial data is developed. Then, the complex processing of spatial relationships is mapped into simple and efficient quaternion-based operations. With these mapping methods, spatial relationship operations with large computational volumes can be converted into efficient quaternion calculations, and then the results are returned to respond to the interaction. Finally, an asynchronous rendering acceleration mechanism is also presented in this paper. Experiments demonstrated that the method proposed in this paper can significantly improve vector visualization of the AR map. The new approach, when compared to conventional visualization methods, provides more stable and accurate rendering results, especially when the AR map has strenuous movements and high frequency variations. The smoothness of the user interaction experience is also significantly improved. |
| WOS关键词 | POSE ESTIMATION ; TRACKING ; COMPUTATION ; NAVIGATION |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100202] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2018071] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000833098700001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/181547]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Kejia |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.SuperMap Software Co Ltd, Beijing 100015, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chenliang,Huang, Kejia,Shi, Wenjiao. An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2022,11(7):25. |
| APA | Wang, Chenliang,Huang, Kejia,&Shi, Wenjiao.(2022).An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,11(7),25. |
| MLA | Wang, Chenliang,et al."An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11.7(2022):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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