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Mathematical Imaging and Surface Processing

dc.date.accessioned2019-10-24T15:13:18Z
dc.date.available2019-10-24T15:13:18Z
dc.date.issued2016
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3508
dc.description.abstractWithin the last decade image and geometry processing have become increasingly rigorous with solid foundations in mathematics. Both areas are research fields at the intersection of different mathematical disciplines, ranging from geometry and calculus of variations to PDE analysis and numerical analysis. The workshop brought together scientists from all these areas and a fruitful interplay took place. There was a lively exchange of ideas between geometry and image processing applications areas, characterized in a number of ways in this workshop. For example, optimal transport, first applied in computer vision is now used to define a distance measure between 3d shapes, spectral analysis as a tool in image processing can be applied in surface classification and matching, and so on. We have also seen the use of Riemannian geometry as a powerful tool to improve the analysis of multivalued images. 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-2016-4
local.series.idOWR-2016-4
local.subject.msc68
local.subject.msc65
local.sortindex948
local.date-range24 Jan - 30 Jan 2016
local.workshopcode1604
local.workshoptitleMathematical Imaging and Surface Processing
local.organizersAntonin Chambolle, Palaiseau; Martin Rumpf, Bonn; Peter Schröder, Pasadena
local.report-nameWorkshop Report 2016,4
local.opc-photo-id1604
local.publishers-doi10.4171/OWR/2016/4
local.ems-referenceChambolle Antonin, Rumpf Martin, Schröder Peter: Mathematical Imaging and Surface Processing. Oberwolfach Rep. 13 (2016), 155-214. doi: 10.4171/OWR/2016/4


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