@InProceedings{schilling_cvww2011,
  IS = { zkontrolovano 15 Jan 2013 },
  UPDATE  = { 2012-03-07 },
  author =	 {Schilling, Tanja and Pajdla, Tom{\'a}{\v s}},
  title =	 {An Algebraic Approach to Camera Calibration Based on
                  Distance Constraints},
  year =	 {2011},
  pages =	 {72-79},
  booktitle =	 {CVWW '11: Proceedings of the 16th Computer Vision Winter
                  Workshop},
  editor =	 {Wendel, Andreas and Sternig, Sabine and Godec, Martin},
  publisher =	 {Graz University of Technology},
  address =	 {Inffeldgasse 16/II, Graz, Austria},
  isbn =	 {978-3-85125-129-6},
  book_pages =	 {165},
  month =	 {February},
  day =		 {2-4},
  venue =	 {Mitterberg, Ennstal, Austria},
  annote =	 {In this paper, we propose an approach to an algebraic
                  computation of a projective transformation matrix that
                  upgrades a 3D reconstruction. Constraints are derived from
                  images of segments of equal lengths and yield a set of
                  polynomial equations which we try to solve by the means of
                  Gr\"obner bases. Since a straightforward computation is
                  infeasible for this problem, a strategy is introduced in
                  which a Gr\"obner basis is constructed for a special
                  template data first and the actual data is processed
                  afterwards according to the resulting procedure template. We
                  present experiments that encourage the assumption that this
                  method is applicable in general. },
  keywords =	 {computer vision, camera calibration},
  prestige =	 {international},
  project =	 {MSM6840770012},
  acceptance_ratio ={0.8},
}