Point Cloud Registration Algorithm Based on Laplace Mixture Model

Registering point clouds quickly and accurately has always been a challenging task. A lot of research based on Gaussian mixture model is widely used in recent years. However, few people use other models for point cloud matching. Therefore, this paper proposes a point cloud registration algorithm bas...

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Autores principales:	Qin Shu, Yu Fan, Chang Wang, Xiuli He, Chunxiao Yu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Laplace model point cloud registration rigid affine Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/d4d2ef942d58483ca5546e0b086622e5
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id	oai:doaj.org-article:d4d2ef942d58483ca5546e0b086622e5
record_format	dspace
spelling	oai:doaj.org-article:d4d2ef942d58483ca5546e0b086622e52021-11-18T00:10:11ZPoint Cloud Registration Algorithm Based on Laplace Mixture Model2169-353610.1109/ACCESS.2021.3119574https://doaj.org/article/d4d2ef942d58483ca5546e0b086622e52021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9568978/https://doaj.org/toc/2169-3536Registering point clouds quickly and accurately has always been a challenging task. A lot of research based on Gaussian mixture model is widely used in recent years. However, few people use other models for point cloud matching. Therefore, this paper proposes a point cloud registration algorithm based on the Laplace mixture model. In this paper, sampling variance is used to replace the variance of the likelihood estimation to successfully overcome the nonlinear problem. In addition, the Laplace model has strong robustness, which is very suitable for point cloud matching of 3D laser scanning. In the experiment, compared with several other algorithms, proposed method quickly and accurately registers point clouds.Qin ShuYu FanChang WangXiuli HeChunxiao YuIEEEarticleLaplace modelpoint cloud registrationrigidaffineElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 148988-148993 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Laplace model point cloud registration rigid affine Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Laplace model point cloud registration rigid affine Electrical engineering. Electronics. Nuclear engineering TK1-9971 Qin Shu Yu Fan Chang Wang Xiuli He Chunxiao Yu Point Cloud Registration Algorithm Based on Laplace Mixture Model
description	Registering point clouds quickly and accurately has always been a challenging task. A lot of research based on Gaussian mixture model is widely used in recent years. However, few people use other models for point cloud matching. Therefore, this paper proposes a point cloud registration algorithm based on the Laplace mixture model. In this paper, sampling variance is used to replace the variance of the likelihood estimation to successfully overcome the nonlinear problem. In addition, the Laplace model has strong robustness, which is very suitable for point cloud matching of 3D laser scanning. In the experiment, compared with several other algorithms, proposed method quickly and accurately registers point clouds.
format	article
author	Qin Shu Yu Fan Chang Wang Xiuli He Chunxiao Yu
author_facet	Qin Shu Yu Fan Chang Wang Xiuli He Chunxiao Yu
author_sort	Qin Shu
title	Point Cloud Registration Algorithm Based on Laplace Mixture Model
title_short	Point Cloud Registration Algorithm Based on Laplace Mixture Model
title_full	Point Cloud Registration Algorithm Based on Laplace Mixture Model
title_fullStr	Point Cloud Registration Algorithm Based on Laplace Mixture Model
title_full_unstemmed	Point Cloud Registration Algorithm Based on Laplace Mixture Model
title_sort	point cloud registration algorithm based on laplace mixture model
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/d4d2ef942d58483ca5546e0b086622e5
work_keys_str_mv	AT qinshu pointcloudregistrationalgorithmbasedonlaplacemixturemodel AT yufan pointcloudregistrationalgorithmbasedonlaplacemixturemodel AT changwang pointcloudregistrationalgorithmbasedonlaplacemixturemodel AT xiulihe pointcloudregistrationalgorithmbasedonlaplacemixturemodel AT chunxiaoyu pointcloudregistrationalgorithmbasedonlaplacemixturemodel
_version_	1718425252936024064

Point Cloud Registration Algorithm Based on Laplace Mixture Model

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