Homological Computation Using Spanning Trees

  • Authors:
  • H. Molina-Abril;P. Real

  • Affiliations:
  • Departamento de Matematica Aplicada I, Universidad de Sevilla, and Faculty of Informatics, PRIP Group, Vienna University of Technology,;Departamento de Matematica Aplicada I, Universidad de Sevilla,

  • Venue:
  • CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  • Year:
  • 2009

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Abstract

We introduce here a new $\mathbb{F}_2$ homology computation algorithm based on a generalization of the spanning tree technique on a finite 3-dimensional cell complex K embedded in ***3. We demonstrate that the complexity of this algorithm is linear in the number of cells. In fact, this process computes an algebraic map *** over K , called homology gradient vector field (HGVF), from which it is possible to infer in a straightforward manner homological information like Euler characteristic, relative homology groups, representative cycles for homology generators, topological skeletons, Reeb graphs, cohomology algebra, higher (co)homology operations, etc. This process can be generalized to others coefficients, including the integers, and to higher dimension.