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Towards a geometric interpretation of double-cross matrix-based similarity of polylines

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Published:05 November 2008Publication History

ABSTRACT

One of the formalisms to qualitatively describe polylines in the plane are double-cross matrices. In a double-cross matrix the relative position of any two line segments in a polyline is described with respect to a double cross based on their start points. Two polylines are called DC-similar if their double-cross matrices are identical. Although double-cross matrices have been widely applied, a geometric interpretation of the similarity they express is still lacking. In this paper, we provide a first step in the geometric interpretation of this qualitative definition of similarity. In particular, we give an effective characterization of what DC-similarity means for polylines that are drawn on a grid. We also provide algorithms that, given a DC-matrix, check whether it is realizable by a polyline on a grid and that construct, if possible, in quadratic time example polylines that satisfy this matrix. We also describe algorithms to reconstruct polylines, satisfying a given double-cross matrix, in the two-dimensional plane, that is, not necessarily on a grid.

References

  1. Mathematica 6. http://www.wolfram.com.Google ScholarGoogle Scholar
  2. Qepcad. http://www.cs.usna.edu/~qepcad.Google ScholarGoogle Scholar
  3. Redlog. http://www.fmi.uni-passau.de/~redlog.Google ScholarGoogle Scholar
  4. B. Caviness and J. Johnson, editors. Quantifier Elimination and Cylindrical Algebraic Decomposition. Springer, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. G. Cohn and J. Renz. Qualitative spatial representation and reasoning. In Handbook of Knowledge Representation, chapter 13, pages 551--596. Elsevier, 2007.Google ScholarGoogle Scholar
  6. N. V. de Weghe. Representing and Reasoning about Moving Objects: A Qualitative Approach. PhD thesis, Ghent University, Faculty of Sciences, Department of Geography, 2004.Google ScholarGoogle Scholar
  7. N. V. de Weghe, B. Kuijpers, P. Bogaert, and P. D. Maeyer. A qualitative trajectory calculus and the composition of its relations. In GeoS, volume 3799 of Lecture Notes in Computer Science, pages 60--76. Springer, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. M. J. Egenhofer and D. M. Mark. Naive geography. In COSIT, pages 1--15, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  9. K. D. Forbus. Qualitative physics: Past, present, and future. In Readings in Qualitative Reasoning about Physical Systems, pages 11--39. Kaufmann, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. C. Freksa. Using orientation information for qualitative spatial reasoning. In A. F. et al., editor, Spatio-Temporal Reasoning, volume 639 of Lecture Notes in Computer Science, pages 162--178. Springer, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. F. Giannotti and D. Pedreschi, editors. Mobility, Data Mining and Privacy - Geographic Knowledge Discovery. Springer, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. R. H. Güting and M. Schneider. Moving Objects Databases. Morgan Kaufmann, 2005.Google ScholarGoogle Scholar
  13. B. Kuijpers, B. Moelans, and N. V. de Weghe. Qualitative polyline similarity testing with applications to query-by-sketch, indexing and classification. In Proceedings ACM-GIS '06, pages 11--18, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. M. Nanni, B. Kuijpers, C. Körner, M. May, and D. Pedreschi. Spatiotemporal data mining. In Mobility, Data Mining and Privacy, chapter 10, pages 267--296. Springer, 2008.Google ScholarGoogle Scholar
  15. G. Trajcevski, H. Ding, P. Scheuermann, R. Tamassia, and D. Vaccaro. Dynamics-aware similarity of moving objects trajectories. In Proceedings ACM-GIS'07, pages 75--82, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. M. J. van Kreveld and J. Luo. The definition and computation of trajectory and subtrajectory similarity. In Proceedings ACM-GIS, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. M. Vlachos, M. Hadjieleftheriou, D. Gunopulos, and E. J. Keogh. Indexing multi-dimensional time-series with support for multiple distance measures. In Proceedings ACM SIGKDD, pages 216--225, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. O. Wolfson. Moving objects information management: The database challenge. In Proceedings of NGITS, pages 75--89, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. K. Zimmermann and C. Freksa. Qualitative spatial reasoning using orientation, distance, and path knowledge. Appl. Intell., 6(1):49--58, 1996.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
        November 2008
        559 pages
        ISBN:9781605583235
        DOI:10.1145/1463434

        Copyright © 2008 ACM

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        Publication History

        • Published: 5 November 2008

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