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The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.
通过与现有基于点云强度图的配准方法的对比实验表明，在低精度初始外方位元素的辅助下，本文方法能够达到较高的配准精度。
Conclusion: the registration method of picking-up eigenvector and fast coordinate transformation is more applicable to register the dataset of digitized visible human.
结论：采用特征提取和快速坐标变换的配准方法可较好地应用于数字化可视人数据集的图像配准。
The other advantage of the extended registration method is that it will add listeners to MBeans which do not yet exist.
扩展的注册方法的另一个优点就是：它可将侦听器添加到还未存在的MBean。
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