@string{accvimev="Proceedings of ACCV Workshop on Intelligent Mobile and Egocentric Vision"}
@string{lncs="Lecture Notes in Computer Science"}
@string{springer="Springer"}
@INPROCEEDINGS{Tanacs-etal2014a,
  author =	 {Attila Tan\'{a}cs and Andr\'as Majdik and Levente
                  Hajder and J\'ozsef Moln\'ar and Zsolt S\'anta and
                  Zoltan Kato},
  title =	 {Collaborative Mobile 3D Reconstruction of Urban
                  Scenes},
  booktitle =	 accvimev,
  year =	 2014,
  series =	 lncs,
  address =	 {Singapore},
  month =	 nov,
  publisher =	 springer,
  doi = {10.1007/978-3-319-16634-6_36},
  abstract =	 {Reconstruction of the surrounding 3D world is of
                  particular interest either for mapping, civil
                  applications or for entertainment. The wide
                  availability of smartphones with cameras and
                  wireless networking capabilities makes collecting 2D
                  images of a particular scene easy.  In contrast to
                  the client-server architecture adopted by most
                  mobile services, we propose an architecture where
                  data, computations and results can be shared in a
                  collaborative manner among the participating devices
                  without centralization. Camera calibration and pose
                  estimation parameters are determined using classical
                  image-based methods. The reconstruction is based on
                  interactively selected arbitrary planar regions
                  which is espe- cially suitable for objects having
                  large (near) planar surfaces often found in urban
                  scenes (e.g. building facades, windows, etc). The
                  perspective distortion of a planar region in two
                  views makes it possible to compute the normal and
                  distance of the region w.r.t the world coordinate
                  system. Thus a fairly precise 3D model can be built
                  by reconstructing a set of planar regions with
                  different orientation.We also show how
                  visualization, data sharing and communication can be
                  solved. The applicability of the method is
                  demonstrated on reconstructing real urban scenes.},
  pages =	 {486-501},
  editor =	 {C. V. Jawahar and Shiguang Shan},
  volume =	 9010
}