Riemannian Structure and Flows for Smooth Geometric Image Labeling
Author:
Affiliation:
1. Image & Pattern Analysis Group Universität Heidelberg 69120Heidelberg Germany
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.201900218
Reference7 articles.
1. F.Åström S.Petra B.Schmitzer andC.Schnörr Journal of Mathematical Imaging and Vision 58(2) 211–238 (2017).
2. F.SavarinoandC.Schnörr A Variational Perspective on the Assignment Flow in: Proc. SSVM (Springer 2019) (in press).
3. A.Zernet al. Spatially Regularized Geometric Assignment for Unsupervised Label Learning on Manifolds (pamm.201900258) in: these PAMM proc. (2019).
4. A.Zeilmannet al. Exponential Integration of the Linear Assignment Flow (pamm.201900434) in: these PAMM proc. (2019).
5. A.Weinmann L.Demaret andM.Storath SIAM Journal on Imaging Sciences 7(4) 2226–2257 (2014).
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