A Novel Robust Point Cloud Fitting Algorithm Based on Nonlinear Gauss–Helmert Model-Reference-Cited by-同舟云学术

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A Novel Robust Point Cloud Fitting Algorithm Based on Nonlinear Gauss–Helmert Model

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Bin¹^ORCID,Zhao Zhisheng²^ORCID,Chen Yu¹^ORCID,Yu Jie³^ORCID

Affiliation:

1. School of Geomatics Science and Technology, Nanjing Tech University, Nanjing, China

2. Department of Surveying and Mapping, Suzhou Industrial Park, Surveying and Mapping Geographic Information Company Ltd., Suzhou, China

3. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10025769.pdf?arnumber=10025769

Reference44 articles.

1. Solution of the weighted symmetric similarity transformations based on quaternions

2. Total Least Squares Solution of Coordinate Transformation

3. Data Snooping for the Equality Constrained Nonlinear Gauss–Helmert Model Using Sensitivity Analysis

4. An Analysis of the Total Least Squares Problem

5. Retrieval of Euler rotation angles from 3D similarity transformation based on quaternions

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