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Bringing into register incomplete range images of cultural artifacts

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Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
Finding solutions for preserving cultural heritage and historic and architectural sites as 3D models is an important problem in our days. Building 3D models of real objects is also an important research issue in virtual reality. Since a 3D range scanner, used to obtain 3D data, is a line-of-sight instrument, in most cases it is necessary to scan the object from multiple viewpoints to completely reconstruct it. The acquired range images need to be brought into register to build one coherent model. This article presents two registration methods for incomplete range images. One is based on the assumption that the range images being registered have a significant overlap with some feature points. The second one needs additional 2D photographs of the scene to perform the right registration, but the overlapping area of the range images is not necessary here. The presented methods are semi-automatic and base on the analysis of redundant and uncertain data.
Słowa kluczowe
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Strony
649--658
Opis fizyczny
Bibliogr. 13 poz., il., wykr.
Twórcy
autor
autor
  • Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences, 5 Baltycka Str., 44-100 Gliwice, Poland
Bibliografia
  • [1] Besl P. J., McKay N. D.: A method for registration od 3-D shapes, IEEE Transactions on Pattern Analysis and machine Intelligence vol. 14, no. 2, pp. 239-258, 1992.
  • [2] Pulli K.: Multiview registration for large data sets, Proceedings of the International Conference on 3D Digital Imaging and Modelling (1999), pp. 160-168, 1999.
  • [3] Miyazaki D., Ooishi T., Nishikawa T., Sagawa R., Nishino K., Tomomatsu T., Takase Y., Ikeuchi K.: The Great Buddha Project: Modelling Cultural Heritage through Observation. VSMM2000, pp. 138-145, 2000.
  • [4] Zhang Z.: A Flexible new Technique for Camera Calibration, Microsoft Research. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000.
  • [5] Rocchini C., Cignoni P., Motani C., Pingi P., Scopigno R., Fontana R., Greco M., Pampaloni E., Pezzati L., Cygielman M., Giachetti R., Gori G., Miccio M., Pecchioli R.: 3D scanning the Minerva of Arezzo, 2001.
  • [6] Shapiro L., Stockman G.: Computer Vision, Prentice Hall, 2001.
  • [7] Bernardini F., Rushmeier H.: The 3D Model Acquisition Pipeline, Computer Graphics forum 21, pp.149-172, 2002.
  • [8] Nishino K., Ikeuchi K.: Robust simultaneous registration of multiple range images, The 5th Asian Conference on Computer Vision, 23-25 January, Melbourne, Australia, 2002.
  • [9] Intel® Open Source Computer Vision Library, Reference Manual, 2002.
  • [10] Non-Contact 3D Digitizer Vivid 9i/VI-9i - Instruction Manual (Hardware), Konica Minolta, 2003.
  • [11] Allen P.K., Stamos L, Troccoli A., Smith B., Leordeanu M., Hsu Y.C.: 3D modeling of historic sites using range and image data, 2003.
  • [12] Skabek K., Winiarczyk R.: Wykorzystanie skanera 3D do tworzenia obiektów wirtualnych, In: Węgrzyn S., Pochopień B., Czachórski T. (eds.) Wysokowydajne sieci komputerowe: Nowe Technologie, WkiŁ, 2005.
  • [13] Luchowski L.: Segmenting 3D mesh of the human face by local quadric parametrization, In: Pietka E., Leski J., Franiel S. (eds.) XI International Conference Medical Informatics & Technology, pp. 373-376, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0027-0006
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