Web: http://arxiv.org/abs/2102.07951

May 11, 2022, 1:10 a.m. | Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao

cs.CV updates on arXiv.org arxiv.org

In deformable registration, the geometric framework - large deformation
diffeomorphic metric mapping or LDDMM, in short - has inspired numerous
techniques for comparing, deforming, averaging and analyzing shapes or images.
Grounded in flows, which are akin to the equations of motion used in fluid
dynamics, LDDMM algorithms solve the flow equation in the space of plausible
deformations, i.e. diffeomorphisms. In this work, we make use of deep residual
neural networks to solve the non-stationary ODE (flow equation) based on a …

ai arxiv deep framework networks

More from arxiv.org / cs.CV updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California