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

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.本文件为SQLite3数据库，内含3D邻域运动映射（3D neighborhood motions maps）与采样点。本数据集基于下述文献中所述算法的变体计算得到：Pluta K.、Moroz G.、Kenmochi Y.、Romon P.（2016）《三维数字图像刚体运动分类中的二次曲面排列》，收录于Gerdt V.、Koepf W.、Seiler W.、Vorozhtsov E.主编的《科学计算中的计算机代数（CASC 2016）》，《计算机科学讲义（Lecture Notes in Computer Science）》第9890卷，Springer（施普林格）出版社，DOI:10.1007/978-3-319-45641-6_27。 若需引用用于生成本文件的算法版本，请使用DOI：10.5281/zenodo.573013（访问链接：https://zenodo.org/badge/latestdoi/53963129）。 若需查看本数据库的内容，请访问：https://github.com/copyme/NeighborhoodMotionMapsTools/tree/master/3DNMMViewerDB。 请注意，文件名中的前缀“Nx”代表不同的邻域类型：N1对应6邻域，N2对应18邻域，N3对应26邻域。 本提交为整合性提交，用于支撑一篇新的学术论文发表。