• DocumentCode
    594750
  • Title

    Creating realistic 3D models from scanners by decoupling geometry and texture

  • Author

    Adan, Antonio ; Merchan, P. ; Salamanca, S.

  • Author_Institution
    Escuela Super. de Inf., Univ. de Castilla La Mancha, Ciudad Real, Spain
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    457
  • Lastpage
    460
  • Abstract
    To date the methods to create accuracy dense realistic 3D models of outdoors by using laser scanners are highly dependent on the on-site conditions in the very moment of the 3D data collection. Thus, researchers put in a lot of effort on eliminating colour incoherencies (sunny/shady, bright/dark, non sensed areas, etc.) or modelling the light of the scene to obtain free-illumination models. This paper proposes a new strategy that aims to separate the moments in which geometry and colour are taken, making the modelling process independent of the time and external circumstances in the data collection stage, and on-site calibration-free. Our approach is based on matching anytime suitable external images of the scene into the complete 3D geometric model and carrying out an iterative weighted colour mixing algorithm which gradually builds the textured model. The method has been mainly tested in archaeological sites; particularly in rest of ancient Roman buildings, yielding excellent results. Comparison with other commercial solutions is also shown in the paper.
  • Keywords
    archaeology; image colour analysis; image matching; image texture; iterative methods; natural scenes; optical scanners; realistic images; solid modelling; 3D data collection; 3D geometric model; Roman ancient buildings; archaeological sites; colour incoherency elimination; dense realistic 3D model creation method; external image matching; free-illumination models; iterative weighted colour mixing algorithm; laser scanners; on-site calibration-free modelling process; scene geometry; scene light modelling; Cameras; Computational modeling; Equations; Geometry; Image color analysis; Mathematical model; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460170