Open Access
Article Number 02006
Number of page(s) 16
Section Contribution Full-Papers
Published online 24 October 2012
  1. J.H. Clark, Commun. ACM 19, 547 (1976) [CrossRef]
  2. D. Luebke, C. Erikson, View-dependent simplification of arbitrary polygonal environments, in Usage, Usability, and Utility of 3D City Models – European COST Action TU0801 (ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 1997), SIGGRAPH ’97, pp. 199–208, ISBN 0-89791-896-7,
  3. D. Luebke, B. Watson, J.D. Cohen, M. Reddy, A. Varshney, Level of Detail for 3D Graphics (Elsevier Science Inc., New York, NY, USA, 2002), ISBN 1558608389
  4. T.H. Kolbe, Representing and Exchanging 3D City Models with CityGML, in Usage, Usability, and Utility of 3D City Models – European COST Action TU0801, edited by J. Lee, S. Zlatanova (Springer Verlag, Seoul, Korea, 2009), p. 20
  5. Y.I.H. Parish, P. Müller, Procedural modeling of cities, in SIGGRAPH ’01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques (2001), pp. 301–308, ISBN 1-58113-374-X
  6. P. Prusinkiewicz, A. Lindenmayer, The algorithmic beauty of plants (Springer-Verlag, New York, Inc., New York, NY, USA, 1996), ISBN 0-387-94676-4
  7. J. Sun, X. Yu, G. Baciu, M. Green, Template-based generation of road networks for virtual city modeling, in VRST ’02: Proceedings of the ACM symposium on Virtual reality software and technology (ACM, New York, NY, USA, 2002), pp. 33–40, ISBN 1-58113-530-0 [CrossRef]
  8. P. Wonka, M. Wimmer, F. Sillion, W. Ribarsky, ACM Transactions on Graphics 22(4), 669 (2003) [CrossRef]
  9. P. Müller, P. Wonka, S. Haegler, A. Ulmer, L. Van Gool, ACM Transactions on Graphics 25(3), 614 (2006) [CrossRef]
  10. P. Musialski, M. Wimmer, P. Wonka, Computer Graphics Forum (Proceedings of EUROGRAPHICS 2012) 31(2), 661 (2012) [CrossRef]
  11. P. Müller, G. Zeng, P. Wonka, L.V. Gool, ACM Transactions on Graphics 26(3) (2007)
  12. G. Chen, G. Esch, P. Wonka, P. Müller, E. Zhang, ACM Transactions on Graphics 27 (3) (2008)
  13. M. Lipp, P. Wonka, M. Wimmer, ACM Transactions on Graphics 27(3), 102:1 (2008) [CrossRef]
  14. R. Ridorsa, G. Patow, The skylineEngine System, in XX Congreso Español de Iinformàtica Gràfica, CEIG2010 (2010), pp. 207–216
  15. G. Patow, IEEE Computer Graphics and Applications 32, 66 (2012) [CrossRef]
  16. EpicGames, Unreal engine (2011), Buildings.html
  17. B. Cullen, C. O’Sullivan, Journal of WSCG 19(3), 119 (2011)
  18. ESRI, Cityengine (2011),
  19. G. Kelly, H. McCabe, ITB Journal 14, 87 (2006)
  20. B. Watson, P. Mueller, O. Veryovka, A. Fuller, P. Wonka, C. Sexton, IEEE Computer Graphics and Applications 28, 18 (2008) [CrossRef]
  21. C. Vanegas, D. Aliaga, P. Mueller, P. Waddell, B. Watson, P. Wonka, Proceedings of EUROGRAPHICS, State of the Art Reports (also Computer Graphics Forum, to appear) pp. 1–18 (2009)
  22. J.D. Foley, A. van Dam, S.K. Feiner, J. Hughes, Computer Graphics: Principles and Practice (Addison Wesley, 1995)
  23. M. Guthe, R. Klein, Journal of WSCG 11(1) (2003)
  24. R.B. McMaster, K.S. Shea, Generalization in Digital Cartography (Assoc. of American Geographers, Washington, D.C., 1992)
  25. R. Pajarola, E. Gobbetti, The Visual Computer 23(8), 583 (2007) [CrossRef]
  26. L. Meng, A. Forberg, 3D Building Generalisation (Elsevier, 2007)
  27. M. Sester, 3D Visualization and Generalization, in Photogrammetric Week ’07 (2007)
  28. F. Thiemann, M. Sester, Segmentation of Buildings for 3D-Generalisation, in Proceedings of 7th ICA Workshop on Generalisation and Multiple Representation (2004)
  29. H. Mayer, International Journal of Geographical Information Science 19 (8-9), 975 (2005) [CrossRef]
  30. A. Forberg, ISPRS Journal of Photogrammetry and Re-mote Sensing 62, 104 (2007) [CrossRef]
  31. M. Kada, 3D Building Generalization based on Half-Space Modeling, in Proceedings of the ISPRS Workshop on Multiple Representation and Interoperability of Spatial Data (2006)
  32. J.Y. Rau, L.C. Chen, F. Tsai, K.H. Hsiao, W.C. Hsu, in Advances in Image and Video Technology, edited by L.W. Chang, W.N. Lie (Springer Berlin / Heidelberg, 2006), 4319 of Lecture Notes in Computer Science, pp. 44–53, [CrossRef]
  33. H. Fan, L. Meng, M. Jahnke, Generalization of 3D Buildings Modelled by CityGML (Springer, 2009), pp. 387–405
  34. K.H. Anders, Level of Detail Generation of 3D Building Groups by Aggregation and Typification, in Usage, Usability, and Utility of 3D City Models – European COST Action TU0801 (2005)
  35. R. Guercke, T. Götzelmann, C. Brenner, M. Sester, ISPRS Journal of Photogrammetry and Remote Sensing 66(2), 209 (2011) [CrossRef]
  36. S. He, G. Moreau, J.Y. Martin, Footprint-Based 3D Generalization of Building Groups for Virtual City Visualization, in Proceedings of GEOProcessing 2012 (2012), pp. 177–182
  37. T. Glander, J. Döllner, Computers, Environment and Urban Systems 33, 375 (2009) [CrossRef]
  38. B. Mao, Y. Ban, L. Harrie, ISPRS Journal of Photogrammetry and Remote Sensing 66(2), 198 (2011) [CrossRef]
  39. R. Chang, T. Butkiewicz, C. Ziemkiewicz, Z. Wartell, N. Pollard, W. Ribarsky, IEEE Comput. Graph. Appl. 28, 27 (2008) [CrossRef]
  40. R. Guercke, C. Brenner, A Framework for the Generalization of 3D City Models, Usage, Usability, and Utility of 3D City Models – European COST Action TU0801 (2009)
  41. T. Glander, M. Trapp, J. Döllner, Concepts for Automatic Generalization of Virtual 3D Landscape Models, Usage, Usability, and Utility of 3D City Models – European COST Action TU0801 (2011), pp. 127–135
  42. Open Geospatial Consortium Inc., Opengis citygeography markup language (citygml) encoding standard (2008)
  43. O. Pueyo, G. Patow, Tech. Rep. IMA12-01-RR, Departament IMA, Universitat de Girona (2012)
  44. S. Haegler, P. Wonka, S. Müller, L. Van Gool, P. Müller, Computer Graphics Forum 29, 1479 (2010) [CrossRef]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.