Cargando…
Colored Point Cloud Registration by Depth Filtering
In the last stage of colored point cloud registration, depth measurement errors hinder the achievement of accurate and visually plausible alignments. Recently, an algorithm has been proposed to extend the Iterative Closest Point (ICP) algorithm to refine the measured depth values instead of the pose...
Autores principales: | Choi, Ouk, Hwang, Wonjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588022/ https://www.ncbi.nlm.nih.gov/pubmed/34770330 http://dx.doi.org/10.3390/s21217023 |
Ejemplares similares
-
Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
por: Choi, Ouk, et al.
Publicado: (2020) -
A Depth-Based Weighted Point Cloud Registration for Indoor Scene
por: Liu, Shuntao, et al.
Publicado: (2018) -
Genetic Algorithm-Based Optimization for Color Point Cloud Registration
por: Liu, Dongsheng, et al.
Publicado: (2022) -
Global Registration of Subway Tunnel Point Clouds Using an Augmented Extended Kalman Filter and Central-Axis Constraint
por: Kang, Zhizhong, et al.
Publicado: (2015) -
Hierarchical Optimization of 3D Point Cloud Registration
por: Liu, Huikai, et al.
Publicado: (2020)