Fast Registration of Terrestrial LiDAR Point Clouds Based on Gaussian-Weighting Projected Image Matching

Terrestrial point cloud registration plays an important role in 3D reconstruction, heritage restoration and topographic mapping, etc. Unfortunately, current research studies heavily rely on matching the 3D features of overlapped areas between point clouds, which is error-prone and time-consuming. To...

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Detalhes bibliográficos

Principais autores:	Biao Xiong, Dengke Li, Zhize Zhou, Fashuai Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-03-01
Colecção:	Remote Sensing
Assuntos:	point cloud registration Gaussian-weighting projection SIFT feature matching line segment endpoint validation
Acesso em linha:	https://www.mdpi.com/2072-4292/14/6/1466
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