A generalized weighted total least squares-based, iterative solution to the estimation of 3D similarity transformation parameters

Recently, we received a comment from a reader. From the reader’s perspective, he/she shared his/her views on the points discussed in the article, pointing out certain issues. In response to the concerns raised by the reader, we provided detailed answers to each of their questions, along with the sou...

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Published inMeasurement : journal of the International Measurement Confederation Vol. 245; p. 116522
Main Authors Wang, Yongbo, Yuan, Kun, Zheng, Nanshan, Bian, Zhengfu, Yang, Min
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.03.2025
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Abstract Recently, we received a comment from a reader. From the reader’s perspective, he/she shared his/her views on the points discussed in the article, pointing out certain issues. In response to the concerns raised by the reader, we provided detailed answers to each of their questions, along with the source code for the algorithm presented in the article, as well as the source code for the comparison algorithms, to address the reader’s concerns.
AbstractList Recently, we received a comment from a reader. From the reader’s perspective, he/she shared his/her views on the points discussed in the article, pointing out certain issues. In response to the concerns raised by the reader, we provided detailed answers to each of their questions, along with the source code for the algorithm presented in the article, as well as the source code for the comparison algorithms, to address the reader’s concerns.
ArticleNumber 116522
Author Bian, Zhengfu
Zheng, Nanshan
Wang, Yongbo
Yang, Min
Yuan, Kun
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Title A generalized weighted total least squares-based, iterative solution to the estimation of 3D similarity transformation parameters
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