• DocumentCode
    2320658
  • Title

    From images to models: automatic 3D object model construction from multiple views

  • Author

    Dorai, Chitra ; Wang, Gang ; Jain, Anubhav K. ; Mercer, Carolyn

  • Author_Institution
    Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    770
  • Abstract
    Automatic 3D object model construction is important in applications ranging from manufacturing to entertainment industry, since CAD models of existing objects may be either unavailable or unusable. We describe a prototype system for automatically registering and integrating multiple views of objects using surface depth data to construct their geometric models. New techniques for handling key issues such as robust estimation of view transformations relating multiple views and seamless integration of registered data to form an unbroken surface have been proposed and implemented in our system. Our system has been tested on depth data that were obtained using digital interferometry techniques as well as a laser range scanner. Experimental results on real object surfaces demonstrate the good performance of our system
  • Keywords
    image reconstruction; image registration; light interferometry; solid modelling; stereo image processing; 3D object model construction; digital interferometry; geometric models; laser range scanner; multiple views integration; range image registration; surface depth data; view transformations; Computer aided manufacturing; Construction industry; Interferometry; Manufacturing automation; Manufacturing industries; Prototypes; Robustness; Solid modeling; System testing; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546128
  • Filename
    546128