@InProceedings{Werner-iccv03,
  IS = { zkontrolovano 07 Dec 2003 },
  UPDATE  = { 2003-12-01 },
  author =       { Werner, Tom{\' a}{\v s} },
  title =        { Combinatorial Constraints on Multiple 
                   Projections of a Set of Points },
  booktitle =    { ICCV 2003: Proceedings of the 9th International 
                   Conference on Computer Vision },
  volume =       { II },
  isbn =         { 0-7695-1950-4 },
  book_pages  =  { 1530 },
  publisher =    { IEEE Computer Society },
  address =      { 10662 Los Vaqueros Circle, P.O.Box 3014, 
                   CA 90720-1314, Los Alamitos, USA },
  year =         { 2003 },
  month =        { October },
  day =          { 13-16 },
  venue =        { Nice, France },
  psurl = {[werner-iccv03.ps.gz]},
  prestige =     { important },
  pages =        { 1011--1016 },
  annote = { Multiple projections of a scene cannot be arbitrary, the
    allowed configurations being given by matching constraints. This
    paper presents new matching constraints on multiple projections of
    a rigid point set by uncalibrated cameras, obtained by formulation
    in the oriented projective rather than projective geometry. They
    follow from consistency of orientations of camera rays and from
    the fact that the scene is the affine rather that projective
    space. For their non-parametric nature, we call them
    combinatorial. The constraints are derived in a unified
    theoretical framework using the theory of oriented matroids.  For
    example, we present constraints on 4 point correspondences for 2D
    camera resectioning, on 3 correspondences in two 1D cameras, and
    on 4 correspondences in two 2D cameras. },
  keywords = { 3{D} computer vision, multiview geometry, 
                   cheirality, chirality, oriented projective geometry, 
                   oriented matroids },
  project =  { IST-2001-32184, IST-2001-39184, GACR 102/01/0971, 
               GACR 102/03/0440, MSM 212300013 },
}