Distances defined by neighborhood sequences
Pattern Recognition
Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
An algorithmic comparison between square- and hexagonal-based grids
CVGIP: Graphical Models and Image Processing
A Vectorial Algorithm for Tracing Discrete Straight Lines in N-Dimensional Generalized Grids
IEEE Transactions on Visualization and Computer Graphics
Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
Distances based on neighbourhood sequences in non-standard three-dimensional grids
Discrete Applied Mathematics
Weighted distances based on neighbourhood sequences
Pattern Recognition Letters
Topology Preserving Marching Cubes-like Algorithms on the Face-Centered Cubic Grid
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
IEEE Transactions on Computers
Distance with generalized neighbourhood sequences in nD and ∞D
Discrete Applied Mathematics
A Connection between Z n and Generalized Triangular Grids
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Geometric transformations on the hexagonal grid
IEEE Transactions on Image Processing
Digital distance functions on three-dimensional grids
Theoretical Computer Science
Approximation of the euclidean distance by Chamfer distances
Acta Cybernetica
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The two-dimensional hexagonal grid and the three-dimensional face-centered cubic grid can be described by intersecting ***3 and ***4 with a (hyper)plane. Corresponding grids in higher dimensions (n D) are examined. In this paper, we define distance functions based on neighborhood sequences on these, higher dimensional generalizations of the hexagonal grid. An algorithm to produce a shortest path based on neighborhood sequences between any two gridpoints is presented. A formula to compute distance and condition of metricity are presented for neighborhood sequences using two types of neighbors. Distance transform as an application of these distances is also shown.