Robust matching of 3D contours using iterative closest point algorithm improved by M-estimation.

DOI10.1016/S0031-3203(03)00050-5zbMath1045.68142OpenAlexW1970172662MaRDI QIDQ1400497

Tomonori Kondo, Atsushi Miyamoto, Shun'ichi Kaneko

Publication date: 13 August 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(03)00050-5

zbMATH Keywords

MatchingRobustnessOutlierRegistrationDepth image

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (3)

Robust matching of 3D contours using iterative closest point algorithm improved by M-estimation. ⋮ Uncertainty characterization of the orthogonal Procrustes problem with arbitrary covariance matrices ⋮ Medical image registration using modified iterative closest points

Cites Work

• Robust matching of 3D contours using iterative closest point algorithm improved by M-estimation.
• Robust regression using iteratively reweighted least-squares
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