@InProceedings{Martinec-3DPVT2006,
  IS = { zkontrolovano 29 Dec 2006 },
  UPDATE  = { 2006-08-29 },
  author =       { Martinec, Daniel and Pajdla, Tom{\'a}{\v s} },
  title =        { 3D Reconstruction by Gluing Pair-wise Euclidean 
                   Reconstructions, or ``How to Achieve a Good 
                   Reconstruction from Bad Images'' },
  booktitle =    { Third International Symposium on 3D Data
                   Processing, Visualization and Transmission (3DPVT) },
  booktitleshort = { 3DPVT },
  publisher =    { IEEE Computer Society },
  address =      { Piscataway, USA },
  pages =        { 8 },
  year =         { 2006 },
  month =        { June },
  day =          { 14-16 },
  venue =        { University of North Carolina, Chapel Hill, USA },
  project =      { 1ET101210406, FP6-IST-027113 eTRIMS, FP6-IST-027787 DIRAC },
  keywords =     { structure from motion, missing data, wide base-line stereo, 
                   factorization, metric reconstruction },
  autorship =    { 50-50 },
  annote = { This paper presents a new technique for estimating a
             multi-view reconstruction given pair-wise Euclidean
             reconstructions up to rotations, translations and
             scales. The partial reconstructions are glued by the
             following three step procedure: (i) Camera rotations
             consistent with all reconstructions are estimated
             linearly.  (ii) All the pair-wise reconstructions are
             modified according to the new rotations and refined by
             bundle adjustment while keeping the corresponding
             rotations same.  (iii) The refined rotations are used to
             estimate camera translations and 3D points using Second
             Order Cone Programming by minimizing the L-infinity-norm.
             We introduce a new criterion for evaluating importance of
             an epipolar geometry in influence on the overall 3D
             geometry. The estimated importance is used to reweight
             data in the above algorithm to better handle
             unequiponderantly captured images.  The performance of
             the proposed method is demonstrated on difficult wide
             base-line image sets.},
  organization = { {IEEE} Computer Society },
  psurl =        { [Martinec-3DPVT2006.pdf], 
    [demo3DPVT06] },
  prestige =     { international },
  note =         { CD-ROM },
}