Published January 24, 2019 | Version v1

3D neighborhood motion maps (From 6 to 26-neighborhoods)

  • 1. Technion – Israel Institute of Technology
  • 2. INRIA Nancy-Grand-Est, Gamble, France
  • 3. Université Paris-Est, LIGM, CNRS, ENPC, ESIEE Paris, UPEM, France
  • 4. Université Paris-Est Marne-la-Vallée, LAMA, France

Contributors

Researcher:

  • 1. CNRS, University of Lyon, LIRIS

Description

The file is a sqlite3 database which contains 3D neighborhood motions maps of together with sample points. It was computed while using a variation of the algorithm described in: Pluta K., Moroz G., Kenmochi Y., Romon P. (2016) Quadric Arrangement in Classifying Rigid Motions of a 3D Digital Image. In: Gerdt V., Koepf W., Seiler W., Vorozhtsov E. (eds) Computer Algebra in Scientific Computing. CASC 2016. Lecture Notes in Computer Science, vol 9890. Springer, doi:10.1007/978-3-319-45641-6_27

To refer to a version of the algorithm used to compute the file use DOI:10.5281/zenodo.573013 (https://zenodo.org/badge/latestdoi/53963129).

To view the content of the databases we refer to: https://github.com/copyme/NeighborhoodMotionMapsTools/tree/master/3DNMMViewerDB

Note that in the files' names the prefix 'Nx' refers to different neighborhoods, i.e., N1 – 6-neighborhood, N2 – 18-neighborhood and N3 – 26-neighborhood.

This is a consolidating submission for a purpose of a new publication.

Files

Files (407.8 MB)

Name Size
md5:bfd4c3bad680a8749dba3e821c78076d
395.7 kB Download
md5:16e577c8b5b9bf0bcd9a6c4eaaea4b34
63.1 MB Download
md5:9f28eccb8397f9b7f3d3572d33bf8d5b
344.3 MB Download

Additional details

References

  • Pluta K., Moroz G., Kenmochi Y., Romon P. (2016) Quadric Arrangement in Classifying Rigid Motions of a 3D Digital Image. In: Gerdt V., Koepf W., Seiler W., Vorozhtsov E. (eds) Computer Algebra in Scientific Computing. CASC 2016. Lecture Notes in Computer Science, vol 9890. Springer, doi:10.1007/978-3-319-45641-6_27