• DocumentCode
    2224562
  • Title

    On the space requirements of indexing 3D models from 2D perspective images

  • Author

    Caglioti, Vincenzo

  • Author_Institution
    Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    718
  • Abstract
    The space requirements for indexing under perspective projections are addressed. It is known that the surface representing the set of possible images of a model point set within the index space must be three-dimensional (Jacobs, 1996). Under affine projections, the representing surface can be factorized as the cartesian product of lower-dimensional surfaces: these are obtained by projecting the representing surface onto orthogonal subspaces of the index space (Jacobs, 1992; Weinshall, 1993). This paper shows that, under perspective, such a factorization does not exist, yielding a negative answer to a question left open in (Jacobs, 1996). However, it is shown that there exist subspaces of the index space, onto which the representing surface projection is two-dimensional
  • Keywords
    computational geometry; computer vision; image matching; object recognition; 2D perspective images; 3D model indexing; affine projections; cartesian product; computer vision; factorization; image matching; object recognition; orthogonal subspaces; perspective projections; space requirements; surface representation; three dimensional model indexing; Artificial intelligence; Cameras; Computer vision; Image recognition; Indexing; Jacobian matrices; Layout; Orbital robotics; Runtime; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.855891
  • Filename
    855891