Markerless Planar Tracking in Augmented Reality Using Geometric Structure
文献类型：会议论文
| 作者 | Fan, Chunling; Zhao, Yonggang; Feng, Liangbing |
| 出版日期 | 2014 |
| 会议名称 | 10th International Symposium on Visual Computing, ISVC 2014 |
| 会议地点 | Las Vegas, NV |
| 英文摘要 | This paper presents a novel tracking method based on Kanade-Lucas-Tomasi(KLT) for Markerless Augmented Reality system. Two main contributions are listed as follow: 1) feature points are tracked in a multi-level image pyramid model and the tracked points on different levels are blended together; 2) tracked points are refined using the geometric structure between them, including wiping off fictitious points and recovering missing points. In addition, it adapts to acute scale variation and poor quality image tracking. Experimental results show that the proposed algorithm is robust to scale invariant and the re-projection error of feature points on each frame is smaller than one pixel, which is kept at sub-pixel. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6038]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Fan, Chunling,Zhao, Yonggang,Feng, Liangbing. Markerless Planar Tracking in Augmented Reality Using Geometric Structure[C]. 见:10th International Symposium on Visual Computing, ISVC 2014. Las Vegas, NV. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。