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Mathematical Imaging and Surface Processing

dc.date.accessioned2022-09-29T10:45:52Z
dc.date.available2022-09-29T10:45:52Z
dc.date.issued2022
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3978
dc.description.abstractThis workshop was gathering applied mathematicians and computer scientists interested in image and geometry processing. These topics have developed tremendously in the past few years with the rise of artificial intelligence, parallel hardware and strong needs for real-world applications (3D scene reconstruction, architecture, medical imaging and data analysis, etc). These research fields are at the intersection of many mathematical disciplines, from geometry, calculus of variations and optimization to the analysis and numerical analysis of PDEs. The almost 50 participants to this workshop, including many young researchers, had many fruitful exchanges, interested in common issues and speaking a common language, yet often coming from different backgrounds and with different knowledge. This volume collects the abstracts for 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-2022-38
local.series.idOWR-2022-38
local.subject.msc65
local.subject.msc68
local.date-range21 Aug - 27 Aug 2022
local.workshopcode2234
local.workshoptitleMathematical Imaging and Surface Processing
local.organizersMirela Ben-Chen, Haifa; Antonin Chambolle, Palaiseau; Martin Rumpf, Bonn; Peter Schröder, Pasadena
local.report-nameWorkshop Report 2022,38
local.opc-photo-id2234
local.publishers-doi10.4171/OWR/2022/38


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