How does the measure of dissimilarity affect the reconstruction of shape from point data, and how do we quantify the influence? We approach this question by extending popular Euclidean reconstruction algorithms to Bregman space. A particularly interesting Bregman divergence is the relative entropy, whose infinitesimal version defines the Fisher metric. We explain the connections and illustrate the findings with sample results of the implemented algorithms. Joint work with Katharina Oelsboeck and Hubert Wagner.
Freitag, den 14. Juni 2019 um 11:00 Uhr, in Mathematikon, INF 205, Konferenzraum, 5. Stock Freitag, den 14. Juni 2019 at 11:00, in Mathematikon, INF 205, Konferenzraum, 5. Stock
Der Vortrag folgt der Einladung von The lecture takes place at invitation by Prof. Peter Albers