• DocumentCode
    1653906
  • Title

    Automated reconstruction of fragmented objects using their 3D representation - application to important archaeological finds

  • Author

    Papaodysseus, C. ; Arabadjis, D. ; Panagopoulos, M. ; Rousopoulos, P. ; Exarhos, M. ; Papazoglou, E.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens
  • fYear
    2008
  • Firstpage
    769
  • Lastpage
    772
  • Abstract
    In this work a new methodology is introduced for the automated reassembling/reconstruction of fragmented objects using their 3D digital representation. The whole process starts by 3D scanning of the available fragments. These are subsequently properly processed and the obtained fragmentspsila 3D images are automatically tested for possible matching, by means of five novel introduced criteria. The first criterion considers the volume of the gap between two properly placed fragments. Two more criteria consider the fragmentspsila overlapping in each possible matching position. Finally, criteria 4, 5 employ principles from calculus of variations to obtain bounds for the area of the contact surfaces and the length of contact curves. The method has been applied with great success both in the reconstruction of an object artificially broken by the authors and, most important, in the virtual reassembling of parts of wall-paintings made before 1100 BC., excavated highly fragmented in Mycenae and Tiryntha, Greece.
  • Keywords
    archaeology; image matching; image reconstruction; image representation; 3D digital representation; 3D scanning; archaeological object; automated reassembling; automated reconstruction; fragmented object; wall-paintings; Application software; Automatic testing; Calculus; Equations; Gravity; Image reconstruction; Painting; Shape; Surface reconstruction; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697243
  • Filename
    4697243