* Package name    : disperse
   Version         : 0.9.24
   Upstream Authors: Thierry Sousbie <tsousbie@gmail.com>
* URL             : https://github.com/thierry-sousbie/DisPerSE
* License         : CeCILL-C or CeCILL-2.0
   Description     : Automatic feature identification in 2D and 3D
  DisPerSE stands for "Discrete Persistent Structures Extractor" and its
main
  purpose is the automatic identification of persistent topological
features
  such as peaks, voids, walls and in particular filamentary structures
within
  sampled distributions in 2D, 3D, and possibly more...
  .
  Although it was initially developed with cosmology in mind (for the
study of
  the properties of filamentary structures in the so called comic web of
galaxy
  distribution over large scales in the Universe), the present version is
quite
  versatile and should be useful for any application where a robust
structure
  identification is required, for segmentation or for studying the
topology of
  sampled functions (like computing persistent Betti numbers for
instance).
  .
  It is able to deal directly with noisy datasets using the concept of
  persistence (a measure of the robustness of topological features) and
can work
  indifferently on many kinds of cell complex (such as structured and
  unstructured grids, 2D manifolds embedded within a 3D space, discrete
point
  samples using delaunay tesselation, Healpix tesselations of the sphere,
...).
  The only constraint is that the distribution must be defined over a
manifold,
  possibly with boundaries.

A working package is available at http://sid.ethz.ch/debian/disperse/