Extracting of six Deformation Parameters Using Improved ICP Matching Based on Terrestrial Laser Scanning Data

被引:0
|
作者
Xijiang Chen
Guang Zhang
Xianghong Hua
Hao Wu
Wei Xuan
机构
[1] Wuhan University of Technology,School of Resource and Environment Engineering
[2] Wuhan University,School of Geodesy & Geomatics
[3] Wuhan University of Technology,undefined
关键词
Deformation; Six parameters; Point cloud; TLS; ICP;
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学科分类号
摘要
Extraction of the magnitude and direction of deformation is an important issue. Deformation is typically extracted by comparing data related to a finite number of control point. However, such a method can only extract the magnitude of deformation, but not the direction of deformation. In this paper, the improved ICP model is exploited for extracting the deformation. The main idea of this method is the construction of improved ICP and the determination of the relationship between extraction of six deformation parameters and local matching. This proposed deformation extraction method is particularly suited for scenarios where the deformation area is 3D rigid-body. The performance of the proposed method is extensively evaluated numerically and experimentally according to the 3D rigid-body board deformation. It is important to note that the conclusions were achieved under non-ideal conditions, e.g. using non-calibrated TLS point cloud and non-special targets. Besides the simulation experiment, the validation results achieved on bridge test site are briefly discussed.
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页码:123 / 130
页数:7
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