A regularized point cloud registration approach for orthogonal transformations

DOI10.1007/s10898-020-00934-8zbMath1495.90142OpenAlexW3045041534MaRDI QIDQ2149609

Aleksei Voronin, Vitaly Kober, Artyom Makovetskii, Sergey Voronin

Publication date: 29 June 2022

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-020-00934-8

zbMATH Keywords

global optimizationexact solutionclosed-form solutionaffine transformationssurface reconstructionorthogonal transformationsvariational functionalscomputer geometryiterative closest points (ICP)normal ICP (NICP)

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26)

Related Items (1)

Special issue: 18th international conference on mathematical optimization theory and operations research (MOTOR 2019)

Uses Software

• Stanford 3D Scanning Repository
• GitHub
• NICP

Cites Work

• A non‐iterative method for approximation of the exact solution to the point‐to‐plane variational problem for orthogonal transformations

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