The double-cross and the generalization concept as a basis for representing and comparing shapes of polylines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3762 LNCS, Issue , 2005, Pages 1087-1096

  Van De Weghe, Nico ^a   De Tré, Guy ^a   Kuijpers, Bart ^b   De Maeyer, Philippe ^a  

^a GHENT UNIVERSITY   (Belgium)

^b HASSELT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; DATA PROCESSING; DATA REDUCTION; MATHEMATICAL MODELS; MATRIX ALGEBRA; MEASUREMENT THEORY;

POLYLINES; QUALITATIVE REASONING; QUALITATIVE TECHNIQUES; SHAPE RECOGNITION;

PATTERN RECOGNITION;

EID: 33646688246     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11575863_131     Document Type: Conference Paper

References (35)

1. Bookstein, F.L., 1986, Size and shape spaces for landmark data in two dimensions, Statistical Science, 1, 181-242.
2. Mokhtarian, F. and Mackworth, A.K., 1992, A theory of multiscale, curvature-based shape representation for planar curves, TPAMI, 14, 789-805.
3. Dryden, I. and Mardia, K.V., 1998, Statistical Shape Analysis, Wiley, 376 pp.
4. Kent, J.T. and Mardia, K.V., 2001, Shape, procrustes tangent projections and bilateral symmetry, Biometrika, 88, 469-485.
5. Gero, J.S., 1999, Representation and reasoning about shapes: cognitive and computational studies in visual reasoning in design, COSIT, 315-330.
6. Meathrel, R.C., 2001, A General Theory of Boundary-Based Qualitative Representation of 2D Shape, PhD Thesis, UK, University of Exeter, 239 pp.
7. Schlieder, C., 1996, Qualitative shape representation, Geographic Objects with Indeterminate Boundaries, Taylor & Francis, 123-140.
8. Leyton, M., 1988, A process-grammar for shape, Artificial Intelligence, 34, 213-247.
9. Jungert, E., 1993, Symbolic spatial reasoning on object shapes for qualitative matching, COSIT, 444-462.
10. Latecki, L.J. and Lakämper R., 2000, Shape similarity measure based on correspondence of visual parts, TPAMI, 22(10), 1185-1190.
11. Sebastian, T. and Kimia, B., 2001, Curves vs skeletons in object recognition, Conf. on Image Processing, 22-25.
12. Zhang, D.S. and Lu., L., 2001, A comparative study on shape retrieval using fourier descriptors with different shape signatures, ICIMADE, 1-9.
13. Gottfried, B., 2003, Tripartite line tracks qualitative curve information, COSIT, 101-117.
14. Kulik, L. and Egenhofer M., 2003, Linearized terrain: languages for silhouette representations, COSIT, 118-135.
15. Van de Weghe, N., 2004, Representing and Reasoning about Moving Objects: A Qualitative Approach, PhD Thesis, Belgium, Ghent University, 268 pp.
16. Freksa, C., 1992, Using orientation information for qualitative spatial reasoning, COSIT, 162-178.
17. Zimmermann, K. and Freksa, C., 1996, Qualitative spatial reasoning using orientation, distance, and path knowledge, Applied Intelligence, 6(1), 49-58.
18. Weld, D.S. and de Kleer, J., 1990, Readings in Qualitative Reasoning about Physical Systems, Morgan Kaufmann, 720 pp.
19. Cohn, A.G., 1996, Calculi for qualitative spatial reasoning, AISC, 124-143.
20. Clementini, E., Di Felice, P. and Hemandez, D., 1997, Qualitative representation of positional information, Artificial Intelligence, 95(2), 317-356.
21. Winter, S., 2000, Location similarity in regions, Journal of Photogrammetry and Remote Sensing, 55(3), 189-200.
22. Bruns, T. and Egenhofer, M., 1996, Similarity of spatial scenes, SDH, 4A.31-42.
23. Nedas, K. and Egenhofer, M., 2003, Spatial similarity queries with logical operators, SSTD, 430-448.
24. Tversky, A., 1977, Features of similarity, Psychological Review, 84(4), 327-352.
25. Goyal, R.K., 2000, Similarity Assessment for Cardinal Directions between Extended Spatial Objects, PhD Thesis, USA, University of Maine, 167 pp.
26. Claramunt, C. and Thériault, M., 2004, Fuzzy semantics for direction relations between composite regions, Information Sciences, 160(1-4), 73-90.
27. Jain, A.K., Murty, M.N. and Flynn, P.J., 1999, Data clustering: a review, Computing Surveys, 31(3), 264-323.
28. Nabil, M., Ngu, A.H.H. and Shepherd, J., 2001, Modeling and retrieval of moving objects, Multimedia Tools and Applications, 13(1), 35-71.
29. Latecki, L. and Röhrig, R., 1993, Orientation and qualitative angle for spatial reasoning, IJCAI, 1544-1549.
30. Iwasaki, Y., 1997, Real-world applications of qualitative reasoning: introduction to the special issue, Intelligent Systems, 12(3), 16-21.
31. Rodríguez, A., Egenhofer, M. and Blaser A., 2003, Query pre-processing of toplogical constraints: comparing a composition-based with a neighborhood-based approach., SSTD, 362-379.
32. Egenhofer, M., 1991, Reasoning about binary topological relations, SSD, 143-160.
33. Randell, D.A., Cui, Z. and Cohn., A.G., 1992, A spatial logic based on regions and connection, KR, 165-176.
34. Allen, J.F., 1983, Maintaining knowledge about temporal intervals, Comm. of the ACM, 26(11), 832-843.
35. Rodriguez, A., Van de Weghe, N. and De Maeyer, Ph., 2004, Simplifying sets of events by selecting temporal relations, GIScience, 269-284.