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Indexed by:期刊论文

Date of Publication:2022-06-28

Journal:Journal of Dalian University of Technology

Volume:61

Issue:3

Page Number:316-323

ISSN No.:1000-8608

Key Words:"color point cloud data; rigid registration; local descriptors"

CN No.:21-1117/N

Abstract:The continuous development of laser scanning technology makes it convenient to obtain the information of color point clouds in three-dimensional space.However,how to unify the color point cloud collected from multiple viewpoints in the same coordinate system is still a challenge.Therefore, an image descriptor based on deep learning is proposed,which is applied to 3Dcolor point cloud registration to obtain the initial pose of point cloud registration with high precision.Firstly,according to the one-to-one correspondence between point clouds and images,3Dcolor point clouds can be projected into images.Secondly,the convolutional neural network is used to extract the local features of point cloud key points,and the combined descriptor is formed by combining the directional gradient histogram.Thirdly,the matching point pairs of point clouds are calculated according to the calculated combined descriptor,and the transformation relationship between point clouds is obtained to realize the point cloud coarse registration.The validity of the proposed method is verified by comparing the actual 3Dcolor point cloud data with various registration algorithms.

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