Efficient Registration of Nonrigid 3-D Bodies

Efficient Registration of Nonrigid 3-D Bodies
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DOI:
10.1109/tip.2011.2160958
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发表时间:
2012-01-01
影响因子:
10.6
通讯作者:
Kingsbury, Nick
Kingsbury, Nick
中科院分区:
计算机科学1区
文献类型:
--
作者:
Chen, Huizhong;Kingsbury, Nick

文献摘要

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我们提出了一种利用双树复小波变换(DT-CWT)的相移特性进行三维非刚性体精确配准的新方法。由于DT-CWT系数的相位随着空间域中的特征位移量近似线性地变化,因此可以使用来自这些系数的相位信息来估计运动。迭代地执行运动估计:首先通过使用较粗级别的复系数来确定大的运动分量,然后通过采用较细级别的系数来细化运动场。我们使用一个参数仿射模型来描述的运动,其中的仿射参数被发现本地代入光流模型,并通过求解得到的超定方程组。根据估计的仿射参数,可以生成感测数据集和参考数据集之间的运动场,并且感测数据集然后可以在空间上被移位和内插以与参考数据集对准。
We present a novel method to perform an accurate registration of 3-D nonrigid bodies by using phase-shift properties of the dual-tree complex wavelet transform (DT-CWT). Since the phases of DT-CWT coefficients change approximately linearly with the amount of feature displacement in the spatial domain, motion can be estimated using the phase information from these coefficients. The motion estimation is performed iteratively: first by using coarser level complex coefficients to determine large motion components and then by employing finer level coefficients to refine the motion field. We use a parametric affine model to describe the motion, where the affine parameters are found locally by substituting into an optical flow model and by solving the resulting overdetermined set of equations. From the estimated affine parameters, the motion field between the sensed and the reference data sets can be generated, and the sensed data set then can be shifted and interpolated spatially to align with the reference data set.