3D neighborhood motion maps (From 6 to 26-neighborhoods)
<p>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</p> <p>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).</p> <p>To view the content of the databases we refer to: https://github.com/copyme/NeighborhoodMotionMapsTools/tree/master/3DNMMViewerDB</p> <p>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.</p> <p>This is a consolidating submission for a purpose of a new publication.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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