Automatic registration of multi-view 3D laser point cloud based on image registration and ameliorated ICP Algorithm

Ziming Zhao; Xiangyang Hao; Song Zhao; Yintai Su

doi:10.1117/12.900823

22 August 2011 Automatic registration of multi-view 3D laser point cloud based on image registration and ameliorated ICP Algorithm

Ziming Zhao, Xiangyang Hao, Song Zhao, Yintai Su

Author Affiliations +

Proceedings Volume 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging; 819235 (2011) https://doi.org/10.1117/12.900823
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

In the process of the registration of multi-view point cloud, it's difficult to extract the feature points at present. In view of this condition, the article advances a new automatic registration method of multi-view point cloud based on Image Registration and ICP Algorithm. After the registration of point cloud and corresponding image, the feather can be extracted from the image that has plenty of textures compared with the point cloud. And it's beneficial to improve the precision and efficiency for the next registration. The experimental results demonstrate that the new method guarantees accurate fine registration.

Citation Download Citation

Ziming Zhao, Xiangyang Hao, Song Zhao, and Yintai Su "Automatic registration of multi-view 3D laser point cloud based on image registration and ameliorated ICP Algorithm", Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 819235 (22 August 2011); https://doi.org/10.1117/12.900823

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