@InProceedings{JancosekRLME10,
IS       = { zkontrolovano 29 Mar 2015 },
UPDATE   = { 2015-03-29 },
  author =      {Jancosek, Michal and Pajdla, Tomas},
  title =       {Hallucination-free Multi-View Stereo},
  year =        {2010},
pages    = { 184-196 },
  book_pages =  {250},
booktitle = { Trends and Topics in Computer Vision: ECCV 2010 Workshops },
  publisher =   {Springer-Verlag},
  address =     {Berlin, Germany},
  month =	{September},
  day =		{5-11},
  editor =	{Kostas Daniilidis, Petros Maragos, Nikos Paragios},
  venue =	{Hersonisos, Heraklion, Crete, Greece},
  annote = {We present a multi-view stereo method that avoids producing
hallucinated surfaces which do not correspond to real surfaces. Our
approach to 3D reconstruction is based on the minimal s-t cut of the
graph derived from the Delaunay tetrahedralization of a dense 3D point
cloud, which produces water-tight meshes. This is often a desirable property
but it hallucinates surfaces in complicated scenes with multiple objects
and free open space. For example, a sequence of images obtained
from a moving vehicle often produces meshes where the sky is hallucinated
because there are no images looking from the above to the ground
plane. We present a method for detecting and removing such surfaces.
The method is based on removing perturbation sensitive parts of the
reconstruction using multiple reconstructions of perturbed input data.
We demonstrate our method on several standard datasets often used to
benchmark multi-view stereo and show that it outperforms the state-ofthe-
art techniques.},
  keywords =	 {computer vision, surface reconstruction},
  project =	 {SGS10/186/OHK3/2T/13, FP7-SPACE-241523 PRoViScout only EU, MSM6840770038},
  note      = { CD-ROM },
part        = { II },
volume      = { 6554 },
series      = { LNCS },
ISBN        = { 978-3-642-35739-8 },
authorship  = { 50-50 },
}