Artyom MakovetskiiСергей ВоронинVitaly KoberA. V. Voronin
Point cloud registration looks for an orthogonal transformation in 3D space that maximizes the overlap of two point clouds. The most common method of alignment using geometric characteristics is the Iterative Closest Point (ICP) algorithm. The disadvantage of classical ICP variants is the dependence on the initial placement of point clouds. Coarse point cloud registration algorithms are used to find a suitable initial alignment of two clouds. In this paper, we propose a new algorithm of extraction of common parts and coarse registration of point clouds.
Сергей ВоронинA. VasilyevVitaly KoberArtyom MakovetskiiАлексей ВоронинDmitrii Zhernov
Artyom MakovetskiiСергей ВоронинVitaly KoberA. V. Voronin
Artyom MakovetskiiСергей ВоронинVitaly KoberA. V. Voronin
Chao Zuo鲁敏 Lu Min谭志国 Tan ZhiguoYulan Guo
Guangxuan XuYajun PangZhenxu BaiYulei WangZhiwei Lü