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Mathematical Imaging and Surface Processing

dc.date.accessioned2025-03-11T13:29:27Z
dc.date.available2025-03-11T13:29:27Z
dc.date.issued2025
dc.identifier.urihttp://publications.mfo.de/handle/mfo/4228
dc.description.abstractThe workshop "Mathematical Imaging and Surface Processing'' is designed to foster exchange and collaboration between applied mathematicians and applied computer scientists on problems arising in computer graphics, geometry processing and image analysis. The participants are also interested in computational and theoretical issues of data science, and theory and methods of machine learning were featured in many of the talks. About 40 participants, with many younger post-docs or PhD students, could exchange and work on these themes, while coming from quite different backgrounds (academic and industrial). Several talks emphasized the strength of fundamental theoretical concepts, such as symmetries of Lie groups or curvature in Riemannian geometry, for important applications in graphics, vision, construction and architecture. This volume collects the abstracts of all the presentations covering this wide spectrum of tools and application domains.
dc.titleMathematical Imaging and Surface Processing
dc.rights.licenseDieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.de
dc.rights.licenseThis document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.en
dc.identifier.doi10.14760/OWR-2025-5
local.series.idOWR-2025-5
local.subject.msc68
local.subject.msc65
local.date-range02 Feb - 07 Feb 2025
local.workshopcode2506
local.workshoptitleMathematical Imaging and Surface Processing
local.organizersMirela Ben-Chen, Haifa; Antonin Chambolle, Paris; Benedikt Wirth, Münster
local.report-nameWorkshop Report 2025,5
local.opc-photo-id2506
local.publishers-doi10.4171/OWR/2025/5


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