The total least squares method in multi-view point clouds splicing

Author

Liu, Jianxin ; Cui, Hanguo ; Dai, Xing ; Chen, Yang

Author_Institution

Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China

Volume

2

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

762

Lastpage

765

Abstract

Focus on how to improve the stability and accuracy and efficiency of algorithms for the point clouds splicing, a least squares method based on hybrid positioning point clouds pre-splicing method was proposed, and the detailed algorithm was given, and a precise splicing method based on total least squares method was presented, and the optimization of existing ICP algorithm was achieved, and the global convergence and the stability of the algorithm were ensured, and the number of iterations was reduced, and the accuracy and efficiency of the algorithm was improved.

Keywords

convergence; image reconstruction; least squares approximations; optimisation; ICP algorithm; global convergence; least squares method; multi-view point clouds splicing; optimization; Accuracy; Algorithm design and analysis; Clouds; Iterative closest point algorithm; Least squares methods; Measurement uncertainty; Splicing; multi-view point clouds; point clouds splicing; positioning point; total least squares method;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646727

Filename

5646727