In combinatorial mathematics, a De Bruijn torus, named after Dutch mathematician Nicolaas Govert de Bruijn, is an array of symbols from an alphabet (often just 0 and 1) that contains every possible matrix of given dimensions m × n exactly once. It is a torus because the edges are considered wraparound for the purpose of finding matrices. Its name comes from the De Bruijn sequence, which can be considered a special case where n = 1 (one dimension).
One of the main open questions regarding De Bruijn tori is whether a De Bruijn torus for a particular alphabet size can be constructed for a given m and n. It is known that these always exist when n = 1, since then we simply get the De Bruijn sequences, which always exist. It is also known that "square" tori exist whenever m = n and even (for the odd case the resulting tori cannot be square).[1][2][3]
The smallest possible binary "square" de Bruijn torus, depicted above right, denoted as (4,4;2,2)2 de Bruijn torus (or simply as B2), contains all 2×2 binary matrices.
B2
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Apart from "translation", "inversion" (exchanging 0s and 1s) and "rotation" (by 90 degrees), no other (4,4;2,2)2 de Bruijn tori are possible – this can be shown by complete inspection of all 216 binary matrices (or subset fulfilling constrains such as equal numbers of 0s and 1s).[4]
The torus can be unrolled by repeating n−1 rows and columns. All n×n submatrices without wraparound, such as the one shaded yellow, then form the complete set:
1 0 1 1 1 1 0 0 0 1 0 0 0 1 0 1 1 0 1 1 1 0 1 1 1
Larger example: B4
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The grid highlights some of the 4×4 matrices, including those of zeros and of ones at the upper margin.
An example of the next possible binary "square" de Bruijn torus, (256,256;4,4)2 (abbreviated as B4), has been explicitly constructed.[5]
The image on the right shows an example of a (256,256;4,4)2 de Bruijn torus / array, where the zeros have been encoded as white and the ones as red pixels respectively.
Binary de Bruijn tori of greater size
editThe paper in which an example of the (256,256;4,4)2 de Bruijn torus was constructed contained over 10 pages of binary, despite its reduced font size, requiring three lines per row of array.
The subsequent possible binary de Bruijn torus, containing all binary 6×6 matrices, would have 236 = 68,719,476,736 entries, yielding a square array of dimension 262,144×262,144, denoted a (262144,262144;6,6)2 de Bruijn torus or simply B6. This could easily be stored on a computer—if printed with pixels of side 0.1 mm, such a matrix would require an area of approximately 26×26 square metres.
The object B8, containing all binary 8×8 matrices and denoted (4294967296,4294967296;8,8)2, has a total of 264 ≈ 18.447×1018 entries: storing such a matrix would require 18.5 exabits, or 2.3 exabytes of storage. At the above scale, it would cover 429×429 square kilometres.
The following table illustrates the super-exponential growth.
| n | Cells in a submatrix = n2 |
Number of submatrices = 2n2 |
Bn side length = 2(n2/2) |
|---|---|---|---|
| 2 | 4 | 16 | 4 |
| 4 | 16 | 65 536 | 256 |
| 6 | 36 | 68 719 476 736 | 262 144 |
| 8 | 64 | ~1.84×1019 | ~4.29×109 |
| 10 | 100 | ~1.27×1030 | ~1.13×1015 |
| 12 | 144 | ~2.23×1043 | ~4.72×1021 |
| 14 | 196 | ~1.00×1059 | ~3.17×1029 |
| 16 | 256 | ~1.16×1077 | ~3.40×1038 |
| 18 | 324 | ~3.42×1097 | ~5.85×1048 |
| 20 | 400 | ~2.60×10120 | ~1.61×1060 |
Applications
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The camera identifies a 6×6 matrix of dots, each displaced from the blue grid (not printed) in one of 4 directions.
The combinations of relative displacements of a 6-bit de Bruijn sequence between the columns, and between the rows gives its absolute position on the digital paper.
De Bruijn tori are used in the spatial coding context, e.g. for localization of a camera,[6] a robot[7] or a tangible[8] based on some optical ground pattern.
They are also used as basis of the PuzzleBoard,[9] an optical camera calibration _target which adds position encoding to a chessboard calibration pattern.[10]
De Bruijn tori can be used to implement digital paper, similar to the Anoto system. Each Anoto cell has four possible states and is thus based on a de Bruijn torus like structure with alphabet size 4. It uses a repeating 6-bit De Bruijn sequence with different offsets as columns.[11]
See also
editReferences
edit- ^ Fan, C. T.; Fan, S. M.; Ma, S. L.; Siu, M. K. (1985). "On de Bruijn arrays". Ars Combinatoria A. 19: 205–213.
- ^ Chung, F.; Diaconis, P.; Graham, R. (1992). "Universal cycles for combinatorial structures". Discrete Mathematics. 110 (1): 43–59. doi:10.1016/0012-365x(92)90699-g.
- ^ Jackson, Brad; Stevens, Brett; Hurlbert, Glenn (Sep 2009). "Research problems on Gray codes and universal cycles". Discrete Mathematics. 309 (17): 5341–5348. doi:10.1016/j.disc.2009.04.002.
- ^ Eggen, Bernd R. (1990). "The Binatorix B2". Private Communication.
- ^ Shiu, Wai-Chee (1997). "Decoding de Bruijn arrays constructed by the FFMS method". Ars Combinatoria. 47 (17): 33–48.
- ^ Szentandrási, I., Zachariás, M., Havel, J., Herout, A., Dubská, M., Kajan, R.: Uniform Marker Fields: Camera Localization By Orientable De Bruijn Tori. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 319-320 (2012).
- ^ Scheinerman, E.R.: Determining Planar Location Via Complement-Free de Bruijn Sequences Using Discrete Optical Sensors. IEEE Transactions on Robotics and Automation, 17(6), pp. 883–889 (2001).
- ^ Schüsselbauer, D., Schmid, A:, Wimmer, R.: Dothraki: Tracking Tangibles Atop Tabletops Through De-Bruijn Tori. 15th Conference on Tangible, Embedded, and Embodies Interaction (2021).
- ^ Stelldinger, P., Schönherr, N., Biermann, J.: PuzzleBoard: A New Camera Calibration Pattern with Position Encoding, German Conference on Pattern Recognition (2024).
- ^ "PuzzleBoard: A Checkerboard _target with Lightweight Position Encoding".
- ^ http://infoscience.epfl.ch/server/api/core/bitstreams/7db48a9d-e0db-424b-94f7-c5ef897c28f3/content