A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds
文献类型：期刊论文
| 作者 | Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2021 |
| 卷号 | 18期号:2页码:288-299 |
| 关键词 | Augmented reality markerless tracking registration LineMod iterative closest point (ICP) algorithm |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-020-1265-9 |
| 英文摘要 | In order to overcome the defects where the surface of the object lacks sufficient texture features and the algorithm cannot meet the real-time requirements of augmented reality, a markerless augmented reality tracking registration method based on multi-modal template matching and point clouds is proposed. The method first adapts the linear parallel multi-modal LineMod template matching method with scale invariance to identify the texture-less target and obtain the reference image as the key frame that is most similar to the current perspective. Then, we can obtain the initial pose of the camera and solve the problem of re-initialization because of tracking registration interruption. A point cloud-based method is used to calculate the precise pose of the camera in real time. In order to solve the problem that the traditional iterative closest point (ICP) algorithm cannot meet the real-time requirements of the system, Kd-tree (k-dimensional tree) is used under the graphics processing unit (GPU) to replace the part of finding the nearest points in the original ICP algorithm to improve the speed of tracking registration. At the same time, the random sample consensus (RANSAC) algorithm is used to remove the error point pairs to improve the accuracy of the algorithm. The results show that the proposed tracking registration method has good real-time performance and robustness. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/44023]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | Lanzhou Institute of Physics, China Academy of Space Technology, Lanzhou 730000, China |
| 推荐引用方式 GB/T 7714 | Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma. A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds[J]. International Journal of Automation and Computing,2021,18(2):288-299. |
| APA | Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma.(2021).A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds.International Journal of Automation and Computing,18(2),288-299. |
| MLA | Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma."A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds".International Journal of Automation and Computing 18.2(2021):288-299. |
入库方式： OAI收割
来源：自动化研究所
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