Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert

DOI10.1016/J.CSDA.2012.03.014zbMath1255.62333OpenAlexW2123323973MaRDI QIDQ1927235

Hirotaka Niitsuma, Ken-Ichi Kanatani

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.03.014

zbMATH Keywords

Gauss-Newton methodstereo vision3-D similarity estimationGauss-Helmert methodgeodetic sensinginhomogeneous anisotropic noise

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Nonlinear analysis of the three-dimensional datum transformation [conformal group \(\mathbb{C}_7(3)\)]
• Group-theoretical methods in image understanding
• Multiple View Geometry in Computer Vision

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