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Reconstruction methods for 3D underwater objects using point cloud data

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Existing methods for visualizing underwater objects in three dimensions are usually based on displaying the imaged objects either as unorganised point sets or in the form of edges connecting the points in a trivial way. To allow the researcher to recognise more details and characteristic features of an investigated object, the visualization quality may be improved by transforming the unordered point clouds into higher order structures. There are many algorithms for constructing meshes from point clouds, some of which are more suited to processing data obtained from particular sources. This article presents the application of several methods for generating 3D models from point clouds for the purpose of reconstructing underwater objects, such as shipwrecks. The article presents the results obtained with each method and discusses possible ways of improving the quality of produced meshes.
Czasopismo
Rocznik
Tom
Strony
95--102
Opis fizyczny
Bibliogr. 8 poz., rys.
Twórcy
autor
  • Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Department of Geoinformatics, Narutowicza 11/12, Poland
  • Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Department of Geoinformatics, Narutowicza 11/12, Poland
Bibliografia
  • [1] U. Castellani, A. Fusiello, V. Murino, L. Papaleo, E. Puppo, M. Pittore, A complete system for on-line 3D modelling from acoustic images, Signal Processing: Image Communication 20, 832–852, 2005.
  • [2] R. Campos, R. Garcia, T. Nicosevici, Surface reconstruction methods for the recovery of 3D models from underwater interest areas, OCEANS, 2011 IEEE - Spain, 2011.
  • [3] C. J. Prabhakar, P. U. Praveen Kumar, 3D Surface Reconstruction of Underwater Objects, International Journal of Computer Applications (0975 - 8878) on National Conference on Advanced Computing and Communications - NCACC, 2011.
  • [4] F. Bernardini, J. Mittleman, H. Ftushmeier, C. Silva, G. Taubin, The Ball-Pivoting Algorithm for Surface Reconstruction, IEEE Transactions on Visualization and Computer Graphics, Vol. 5, No. 4, 349-359, 1999.
  • [5] M. Kazhdan, M. Bolitho, H. Hoppe, Poisson Surface Reconstruction, Eurographics Symposium on Geometry Processing, 2006.
  • [6] N. Amenta, S. Choi, R. K. Kolluri, The Power Crust, Proceedings of the sixth ACM symposium on Solid modeling and applications, 249-266, 2001.
  • [7] P. Maur, Delaunay Triangulation in 3D, Technical Report No. DCSE/TR-2002-02, University of West Bohemia in Pilsen, 2002.
  • [8] M. Kulawiak, Z. Łubniewski, 3D imaging of underwater objects using multibeam data, Hydroacoustics, Vol. 17, 123-128, 2014.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a9229c85-19a0-4495-9784-cde058f791f4
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