Registration algorithm for incongruent point clouds
- Resource Type
- Conference
- Authors
- Makovetskii, Artyom; Voronin, Sergei; Kober, Vitaly; Voronin, Alexei
- Source
- 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT) Information Technology and Nanotechnology (ITNT), 2022 VIII International Conference on. :1-8 May, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Point cloud compression
Three-dimensional displays
Iterative closest point algorithm
Clustering algorithms
Iterative methods
Information technology
Nanotechnology
point cloud
coarse registration
descriptor
orthogonal transformation
- Language
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.