Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes | |
Wen, Z. M.; A. Kuijper; M. Fraissinet-Tachet; Y. J. Wang and J. Luo | |
2017 | |
发表期刊 | Arabian Journal for Science and Engineering |
卷号 | 42期号:8 |
摘要 | Based on mutual information (MI), this paper proposes a systematic analysis of tracking a multi-plane object with multiple cameras. Firstly, a geometric model consisting of a piecewise planar object and multiple cameras is setup. Given an initial pose guess, the method seeks a pose update that maximizes the global MI of all the pairs of reference image and camera image. An object pose-dependent warp is proposed to ensure computation precision. Six variations of the proposed method are designed and tested. Mode 1, i.e., computing the 2nd-order Hessian of MI at each step as the object pose changes, leads to the highest convergence rates; Mode 2, i.e., computing the 1st-order Hessian of MI once at the beginning, occupies the least time (0.5-1.0 s). For objects with simple-textured planes, applying Gaussian blur first and then use Mode 1 shall generate the highest convergence rate. |
收录类别 | sci ; ei |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/59314 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Wen, Z. M.,A. Kuijper,M. Fraissinet-Tachet,et al. Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes[J]. Arabian Journal for Science and Engineering,2017,42(8). |
APA | Wen, Z. M.,A. Kuijper,M. Fraissinet-Tachet,&Y. J. Wang and J. Luo.(2017).Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes.Arabian Journal for Science and Engineering,42(8). |
MLA | Wen, Z. M.,et al."Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes".Arabian Journal for Science and Engineering 42.8(2017). |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Mutual Information.p(409KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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。
修改评论