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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
Source PublicationArabian Journal for Science and Engineering
Volume42Issue:8
AbstractBased 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.
Indexed Bysci ; ei
Language英语
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/59314
Collection中科院长春光机所知识产出
Recommended Citation
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).
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