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Since 2019, Matheon's application-oriented mathematical research activities are being continued in the framework of the Cluster of Excellence MATH+
www.mathplus.de
The Matheon websites will not be updated anymore.

Dr. Christoph von Tycowicz

Head of research group Geometric Data Analysis and Processing at ZIB

Zuse Institute Berlin
Takustraße 7
14195 Berlin
+49 (0) 30 84185350
vontycowicz@zib.de
Website


Projects as a project leader

  • CH15

    Analysis of Empirical Shape Trajectories

    Hon.-Prof. Hans-Christian Hege / Prof. Tim Sullivan / Dr. Christoph von Tycowicz

    Project heads: Hon.-Prof. Hans-Christian Hege / Prof. Tim Sullivan / Dr. Christoph von Tycowicz
    Project members: Dr. Esfandiar Navayazdani
    Duration: 01.06.2017 - 31.12.2019
    Status: running
    Located at: Freie Universität Berlin

    Description

    The reconstruction of discretized geometric shapes from empirical data, especially from image data, is important for many applications in medicine, biology, materials science, and other fields. During the last years, a number of techniques for performing such geometrical reconstructions and for conducting shape analysis have been developed. An important mathematical concept in this context are shape spaces. These are high-dimensional quotient manifolds with Riemannian structure, whose points represent geometrical shapes. Using suitable metrics and probability density functions on such manifolds, distances between shapes or statistical shape priors (for utilization in reconstruction tasks) can be defined. A frequently encountered situation is that instead of a set of discrete shapes a series of shapes is given, varying with some parameter (e.g. time). The corresponding mathematical object is a trajectory in shape space. For many analysis questions it is helpful to consider the shape trajectories as such (instead of individual shapes) - often together with co-varying parameters. The focus of this project is to develop new mathematical methods for the analysis, processing and reconstruction of empirically defined shape trajectories. By treating the trajectories as curves in shape space, we plan to exploit the rich geometric structure inherent to these spaces. In consequence, we expect the derived schemes to benefit from a compact encoding of constraints and a superior consistency as compared to their Euclidean counterparts. To develop new mathematical methods for the analysis, processing and reconstruction of empirically defined shape trajectories exploiting the rich geometric structure of shape space.

    http://www.zib.de/projects/analysis-empirical-shape-trajectories