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Article | 02-April-2020

Comparison of Several Different Registration Algorithms

target point cloud on the x-axis, y-axis and z-axis. Compared with LCP, the registration accuracy of the point cloud can be more intuitively expressed. The experimental results of SAC-IA algorithm registration based on 3Dsc, PFH and FPFH feature descriptors are shown in Fig. 5, among them, the red point cloud is the target point cloud, and the blue point cloud is the registered point cloud. Figure 5. Initial registration results The registration time, rotation angle error on XYZ axis, translation

Lulu Liu, Baolong Liu

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 1, 22–27

Article | 01-March-2015


characteristics. Registration algorithm is proposed in this paper has better robustness to image noise, and can achieve sub-pixel accuracy; the registration time has also been greatly improved. In terms of image fusion, the images to be fused through wavelet transform of different resolution sub image, using a new image fusion method based on energy and correlation coefficient. The high frequency image decomposed using new energy pixels of the window to window energy contribution rate of fusion rules, the low

Zhang Ning, Zhu Jinfu

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 480–496

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