• DocumentCode
    1656760
  • Title

    Graph-based representation and coding of multiview geometry

  • Author

    Maugey, Thomas ; Ortega, Antonio ; Frossard, Pascal

  • Author_Institution
    Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2013
  • Firstpage
    1325
  • Lastpage
    1329
  • Abstract
    We propose a new approach for describing the geometry information of multiview image representations. Rather than transmitting the raw geometry of the scene, under the form of depth information, we build a graph that represents the connections between corresponding pixels in different views in a multiview image set. The graph starts with the reference image and recursively represents the next levels (i.e., images) by storing the new pixels (those that cannot be derived from the previous image) and their connections to the lower level. The decoder uses these connections to recover the multiple images. In addition to being natural and more easily controlled, the proposed graph-based representation can be compressed more efficiently than depth images. This new representation offers promising perspectives for effective and flexible coding in multiview imaging.
  • Keywords
    computational geometry; graph theory; image coding; image representation; corresponding pixels; depth information; geometry information; graph based coding; graph based representation; image representations; multiview geometry; multiview imaging; raw geometry; Cameras; Decoding; Encoding; Geometry; Image coding; Image color analysis; Image reconstruction; Graph representation; depth maps; multiview image coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637866
  • Filename
    6637866