Spline-based hybrid image registration using landmark and intensity information based on matrix-valued non-radial basis functions

DOI10.1007/s11263-013-0642-zzbMath1328.92039OpenAlexW2032705742MaRDI QIDQ903431

Stefan Wörz, Karl Rohr

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-013-0642-z

zbMATH Keywords

analytic solutionelastic image registrationGaussian elastic body splineshybrid registration

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A robust hybrid method for nonrigid image registration
• Hybrid multiscale landmark and deformable image registration
• Elastic registration of electrophoresis images using intensity information and point landmarks
• Registration for computer-integrated surgery: methodology, state of the art
• Landmark matching via large deformation diffeomorphisms
• Principal warps: thin-plate splines and the decomposition of deformations
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• A new point matching algorithm for non-rigid registration

This page was built for publication: Spline-based hybrid image registration using landmark and intensity information based on matrix-valued non-radial basis functions