@inproceedings{Lebeda-3dRR2015,
  title     = {Dense Rigid Reconstruction from Unstructured Discontinuous Video},
  booktitle = {Proceedings of the ICCV workshop on 3D Representation and Recognition},
  author    = {Lebeda, Karel and Hadfield, Simon and Bowden, Richard},
  pages		= {},
  year      = {2015},
  month     = {December},
  day       = {17},
  venue     = {Santiago, Chile},
  pages     = {814--822},
  psurl     = {http://cvssp.org/Personal/KarelLebeda/papers/3dRR2015.pdf},
  annote    = {Although 3D reconstruction from a monocular video has been an
  				active area of research for a long time, and the resulting
  				models offer great realism and accuracy, strong conditions must
  				be typically met when capturing the video to make this possible.
  				This prevents general reconstruction of moving objects in
  				dynamic, uncontrolled scenes. In this paper, we address this
  				issue. We present a novel algorithm for modelling 3D shapes from
  				unstructured, unconstrained discontinuous footage. The technique
  				is robust against distractors in the scene, background clutter
  				and even shot cuts. We show reconstructed models of objects,
  				which could not be modelled by conventional Structure from
  				Motion methods without additional input. Finally, we present
  				results of our reconstruction in the presence of shot cuts,
  				showing the strength of our technique at modelling from existing
  				footage.},
  keywords  = {Visual tracking, Structure from Motion, SLAM, 3D Tracking, Gaussian Process, Poisson Reconstruction, Texture},
  doi		= {10.1109/ICCVW.2015.110},
  prestige  = {international},
  project   = {EPSRC EP/I011811/1, Rabin Ezra Scholarship},
  status    = {accepted}
}