JOURNAL ARTICLE

Registration algorithm for incongruent point clouds

Artyom MakovetskiiСергей ВоронинVitaly KoberA. V. Voronin

Year: 2022 Journal:   2022 VIII International Conference on Information Technology and Nanotechnology (ITNT)

Abstract

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.

Keywords:
Point cloud Iterative closest point Point (geometry) Rigid transformation Computer science Algorithm Transformation (genetics) Computer vision Artificial intelligence Point set registration Image registration Mathematics Image (mathematics) Geometry

Metrics

3
Cited By
0.69
FWCI (Field Weighted Citation Impact)
18
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design

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