@InProceedings{Torii-Havlena-Pajdla-PSIVT-2009,
  IS = { zkontrolovano 28 Jan 2010 },
  UPDATE  = { 2009-09-29 },
  author =      {Torii, Akihiko and Havlena, Michal and 
                 Pajdla, Tom{\' a}{\v s}},
  title =       {Omnidirectional Image Stabilization by Computing 
                 Camera Trajectory},
  year =        {2009},
  month =       {January},
  day =         {13-16},
  venue =       {Tokyo, Japan},
  pages =       {71-82},
  book_pages =  {1116},
  booktitle =   {PSIVT '09: Advances in Image and Video Technology: 
                 Third Pacific Rim Symposium},
  editor =      {Wada, Toshikazu and Huang, Fay and Lin, Stephen Y.},
  publisher =   {Springer Verlag},
  address =     {Berlin, Germany},
  isbn =        {978-3-540-92956-7},
  issn =        {0302-9743},
  volume =      {5414},
  series =      {Lecture Notes in Computer Science},
  authorship =  {40-30-30},
  project =     {FP6-IST-027787, FP7-SPACE-218814 PRoVisG, MSM6840770038},
  acceptance_ratio = {98/247},
  annote = {In this paper we present a pipeline for camera pose and
    trajectory estimation, and image stabilization and rectification
    for dense as well as wide baseline omnidirectional images.  The
    input is a set of images taken by a single hand-held camera.  The
    output is a set of stabilized and rectified images augmented by
    the computed camera 3D trajectory and reconstruction of feature
    points facilitating visual object recognition.  The paper
    generalizes previous works on camera trajectory estimation done on
    perspective images to omnidirectional images and introduces a new
    technique for omnidirectional image rectification that is suited
    for recognizing people and cars in images.  The performance of the
    pipeline is demonstrated on a real image sequence acquired in
    urban as well as natural environments.},
  keywords = {Structure from Motion, Omnidirectional Vision},
}