Dynamic discrete tomography

Andreas Alpers, Peter Gritzmann

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We consider the problem of reconstructing the paths of a set of points over time, where, at each of a finite set of moments in time the current positions of points in space are only accessible through some small number of their x-rays. This particular particle tracking problem, with applications, e.g. in plasma physics, is the basic problem in dynamic discrete tomography. We introduce and analyze various different algorithmic models. In particular, we determine the computational complexity of the problem (and various of its relatives) and derive algorithms that can be used in practice. As a byproduct we provide new results on constrained variants of min-cost flow and matching problems.

Original languageEnglish
Article number034003
JournalInverse Problems
Volume34
Issue number3
DOIs
StatePublished - 31 Jan 2018

Keywords

  • computational complexity
  • discrete inverse problems
  • dynamic discrete tomography
  • efficient algorithms
  • multi-assignments
  • multi-target tracking
  • particle tracking

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