A Fast and Accurate Spatial Target Snapping Method for 3D Scene Modeling and Mapping in Mobile Augmented Reality
文献类型：期刊论文
| 作者 | Huang, Kejia1; Wang, Chenliang2; Liu, Runying1; Chen, Guoxiong1 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2022 |
| 卷号 | 11期号:1页码:25 |
| 关键词 | spatial computing adaptive decomposition snapping MAR GPU real-time algorithm AR interaction vision-based interaction |
| DOI | 10.3390/ijgi11010069 |
| 通讯作者 | Wang, Chenliang(wangcl@lreis.ac.cn) |
| 英文摘要 | High-performance spatial target snapping is an essential function in 3D scene modeling and mapping that is widely used in mobile augmented reality (MAR). Spatial data snapping in a MAR system must be quick and accurate, while real-time human-computer interaction and drawing smoothness must also be ensured. In this paper, we analyze the advantages and disadvantages of several spatial data snapping algorithms, such as the 2D computational geometry method and the absolute distance calculation method. To address the issues that existing algorithms do not adequately support 3D data snapping and real-time snapping of high data volumes, we present a new adaptive dynamic snapping algorithm based on the spatial and graphical characteristics of augmented reality (AR) data snapping. Finally, the algorithm is experimented with by an AR modeling system, including the evaluation of snapping efficiency and snapping accuracy. Through the experimental comparison, we found that the algorithm proposed in this paper is substantially improved in terms of shortening the snapping time, enhancing the snapping stability, and improving the snapping accuracy of vector points, lines, faces, bodies, etc. The snapping efficiency of the algorithm proposed in this paper is 1.6 times higher than that of the traditional algorithm on average, while the data acquisition accuracy based on the algorithm in this paper is more than 6 times higher than that of the traditional algorithm on average under the same conditions, and its data accuracy is improved from the decimeter level to the centimeter level. |
| WOS关键词 | EFFICIENT ; DAMAGE |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000747111800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170046]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Chenliang |
| 作者单位 | 1.SuperMap Software Co Ltd, Beijing 100015, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Kejia,Wang, Chenliang,Liu, Runying,et al. A Fast and Accurate Spatial Target Snapping Method for 3D Scene Modeling and Mapping in Mobile Augmented Reality[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2022,11(1):25. |
| APA | Huang, Kejia,Wang, Chenliang,Liu, Runying,&Chen, Guoxiong.(2022).A Fast and Accurate Spatial Target Snapping Method for 3D Scene Modeling and Mapping in Mobile Augmented Reality.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,11(1),25. |
| MLA | Huang, Kejia,et al."A Fast and Accurate Spatial Target Snapping Method for 3D Scene Modeling and Mapping in Mobile Augmented Reality".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11.1(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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