• DocumentCode
    2933978
  • Title

    A portable modular system for automatic acquisition of 3D objects

  • Author

    Ferrari, Stefano ; Borghese, Nunzio Alberto

  • Author_Institution
    Dipt. di Ingegneria Elettronica e Inf., Politecnico di Milano, Italy
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1823
  • Abstract
    A modular system which is able to reconstruct the 3D surface of an object is presented here, if has a three level architecture. The first level is devoted to the acquisition of a set of 3D points over the surface (digitisation), the second level constructs the 3D surface in the form of a mesh, filtering the measurement noise. In the third level a bitmap of the surface, obtained from a snapshot, is projected over the 3D mesh to obtain a highly realistic 3D model. This instrument improves the commercial available scanners in two main aspects. The digitiser proves highly flexible and it can easily accommodate objects of different dimension. The construction of the mesh and the filtering of the digitisation noise is carried in a single step through an algorithm which can be parallelised to work in real time. When the spot detection will be transferred to a standard graphic board and the mesh construction over a dedicated (FPGA) board, this instrument shall be seen as a standard input device of next generation graphical workstations
  • Keywords
    data acquisition; image reconstruction; optical scanners; portable instruments; 3D object; FPGA board; algorithm; automatic acquisition; digitisation noise filtering; optical scanner; portable modular system; surface reconstruction; three-level architecture; Field programmable gate arrays; Filtering; Humans; Instruments; Laboratories; Optical devices; Surface cleaning; Surface reconstruction; Surface texture; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
  • Conference_Location
    Venice
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-5276-9
  • Type

    conf

  • DOI
    10.1109/IMTC.1999.776135
  • Filename
    776135