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

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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Bibliographic Details
Main Authors: Biao Xiong, Dengke Li, Zhize Zhou, Fashuai Li
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
point cloud registration
Gaussian-weighting projection
SIFT feature matching
line segment endpoint validation
Online Access:https://www.mdpi.com/2072-4292/14/6/1466

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