3D Orientation-Preserving Variational Models for Accurate Image Registration

DOI10.1137/20M1320006zbMath1457.65027OpenAlexW3089107742MaRDI QIDQ5143311

Ke Chen, Daoping Zhang

Publication date: 11 January 2021

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/20m1320006

zbMATH Keywords

variational modelgeneralized Gauss-Newton methodorientation-preserving maps3D image registration

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Newton-type methods (49M15) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items (6)

Multiscale Approach for Three-Dimensional Conformal Image Registration ⋮ Quasiconformal model with CNN features for large deformation image registration ⋮ A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings ⋮ 3D diffeomorphic image registration with Cauchy–Riemann constraint and lower bounded deformation divergence ⋮ Topology- and convexity-preserving image segmentation based on image registration ⋮ MultiScale Approach for Two-Dimensional Diffeomorphic Image Registration

Uses Software

• KELLEY
• FAIR.m

Cites Work

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