• DocumentCode
    598102
  • Title

    Automating 3D reconstruction pipeline by surf-based alignment

  • Author

    Segundo, M.P. ; Gomes, L. ; Bellon, Olga R. P. ; Silva, Leandro

  • Author_Institution
    IMAGO Res. Group, Univ. Fed. do Parana, Curitiba, Brazil
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    1761
  • Lastpage
    1764
  • Abstract
    In this work, we automate a 3D reconstruction pipeline using two SURF-based approaches. The first approach uses SURF correspondences to pre-align multiple 3D scans from a same object without requiring manual labor. The second approach uses SURF correspondences to calibrate high resolution color images to 3D scans in order to improve the texture quality of the final 3D model. Both approaches succeeded in more than 95% of the test cases and were able to automatically identify incorrect results. Our pipeline has been widely used in several projects of cultural heritage and the proposed improvements are very important to allow its use in large collections. The proposed approaches were favorably compared to other methods and have been successfully applied in cultural heritage preservation of sculptures located in a UNESCO World Heritage site.
  • Keywords
    image colour analysis; image reconstruction; image resolution; image texture; 3D model; 3D reconstruction pipeline automation; SURF-based alignment approach; UNESCO World Heritage site; high resolution color image calibration; multiple 3D scan prealignment; sculpture cultural heritage preservation; texture quality; Calibration; Cultural differences; Integrated circuits; Manuals; Pipelines; Robustness; Three dimensional displays; 3D reconstruction; cultural heritage; pairwise registration; texture calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467221
  • Filename
    6467221