String Methods for Stochastic Image and Shape Matching-Reference-Cited by-同舟云学术

String Methods for Stochastic Image and Shape Matching

Published:2018-05-25 Issue:6 Volume:60 Page:953-967
ISSN:0924-9907
Container-title:Journal of Mathematical Imaging and Vision
language:en
Short-container-title:J Math Imaging Vis

Author:

Arnaudon Alexis^ORCID,Holm Darryl,Sommer Stefan^ORCID

Funder

Engineering and Physical Sciences Research Council

European Research Council

Villum Fonden

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability

Link

http://link.springer.com/article/10.1007/s10851-018-0823-z/fulltext.html

Reference25 articles.

1. Arnaudon, A., Holm, D.D., Pai, A., Sommer, S.: A stochastic large deformation model for computational anatomy. In: Information Processing for Medical Imaging (IPMI) (2017)

2. Arnaudon, A., Holm, D.D., Sommer, S.: A geometric framework for stochastic shape analysis. Accept. Found. Comput. Math. arXiv:1703.09971 (2018)

3. Arnaudon, A., De Castro, A.L., Holm, D.D.: Noise and dissipation on coadjoint orbits. J. Nonlinear Sci. 28(1), 91–145 (2018)

4. Beg, M.F., Miller, M.I., Trouvé, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Int. J. Comput. Vis. 61(2), 139–157 (2005)

5. Bruveris, M., Gay-Balmaz, F., Holm, D.D., Ratiu, T.S.: The momentum map representation of images. J. Nonlinear Sci. 21(1), 115–150 (2011)

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