A collection of multidimensional points is represented by a data structure called a point cloud, which is frequently used to describe 3-D data. A point cloud is, technically speaking, a database of points in a three-dimensional coordinate system. However, from the viewpoint of a typical workflow, the only thing that matters is that a point cloud is an extremely accurate digital record of an item or region. It is saved as a very large number of points that cover a sensed object's surfaces. 3D point clouds have drawn more and more attention as a novel way to depict objects in recent years. In this paper, a brief introduction to point clouds is given. The study provides a discussion of point clouds, point cloud data collecting, processing, and applications.
%0 Journal Article
%1 roopa_b_s_2024_10669546
%A S, Roopa B
%A S, Pramod Kumar
%A N, Prema K
%A M, Smitha S
%D 2024
%J Global Journal of Engineering and Technology Advances
%K Point cloud
%N 3
%P 219–223
%R 10.30574/gjeta.2023.16.3.0192
%T Review on 3D Point Cloud
%U https://gjeta.com/content/review-3d-point-cloud
%V 16
%X A collection of multidimensional points is represented by a data structure called a point cloud, which is frequently used to describe 3-D data. A point cloud is, technically speaking, a database of points in a three-dimensional coordinate system. However, from the viewpoint of a typical workflow, the only thing that matters is that a point cloud is an extremely accurate digital record of an item or region. It is saved as a very large number of points that cover a sensed object's surfaces. 3D point clouds have drawn more and more attention as a novel way to depict objects in recent years. In this paper, a brief introduction to point clouds is given. The study provides a discussion of point clouds, point cloud data collecting, processing, and applications.
@article{roopa_b_s_2024_10669546,
abstract = {A collection of multidimensional points is represented by a data structure called a point cloud, which is frequently used to describe 3-D data. A point cloud is, technically speaking, a database of points in a three-dimensional coordinate system. However, from the viewpoint of a typical workflow, the only thing that matters is that a point cloud is an extremely accurate digital record of an item or region. It is saved as a very large number of points that cover a sensed object's surfaces. 3D point clouds have drawn more and more attention as a novel way to depict objects in recent years. In this paper, a brief introduction to point clouds is given. The study provides a discussion of point clouds, point cloud data collecting, processing, and applications.},
added-at = {2024-03-16T11:31:52.000+0100},
author = {S, Roopa B and S, Pramod Kumar and N, Prema K and M, Smitha S},
biburl = {https://www.bibsonomy.org/bibtex/254c4724dd251c105004e42c085b1e006/gjetajournal},
doi = {10.30574/gjeta.2023.16.3.0192},
interhash = {3422163f1524fd23924a17eaeae09b1b},
intrahash = {54c4724dd251c105004e42c085b1e006},
issn = {2582-5003},
journal = {{Global Journal of Engineering and Technology Advances}},
keywords = {Point cloud},
month = feb,
number = 3,
pages = {219–223},
timestamp = {2024-03-16T11:31:52.000+0100},
title = {Review on 3D Point Cloud},
url = {https://gjeta.com/content/review-3d-point-cloud},
volume = 16,
year = 2024
}