Mathematical Imaging and Surface Processing
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Period24 Jan - 30 Jan 2016
Within 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.
ReportWorkshop Report 2016,4
OrganizersAntonin Chambolle, Palaiseau; Martin Rumpf, Bonn; Peter Schröder, Pasadena
EMS ReferenceChambolle Antonin, Rumpf Martin, Schröder Peter: Mathematical Imaging and Surface Processing. Oberwolfach Rep. 13 (2016), 155-214. doi: 10.4171/OWR/2016/4
Oberwolfach Photo CollectionOpen Workshop Photos
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