Computer Graphics
TU Braunschweig

Multi-view Coding with Dense Correspondence Fields


Multi-view Coding with Dense Correspondence Fields

We present a fast decoder for free-viewpoint video navigation. Our free-viewpoint video data consist of simultaneously recorded video streams captured with multiple cameras plus additional dense correspondence information. Neither the size nor the representation of the data is appropriate for real-time rendering. We propose a data compression approach for multi-view video sequences that allows for a real-time decoding and playback of long sequences from hard drive.


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Author(s):Benjamin Meyer, Christian Lipski, Björn Scholz, Marcus Magnor
Year:2010
Month:June
Type:Article in conference proceedings
Book:Proc. IEEE International Symposium on Consumer Electronics (ISCE)
Presented at:IEEE International Symposium on Consumer Electronics (ISCE)
Project(s): Image-space Editing of 3D Content  Virtual Video Camera 


@inproceedings{meyer2010multiview,
  title = {Multi-view Coding with Dense Correspondence Fields},
  author = {Meyer, Benjamin and Lipski, Christian and Scholz, Bj{\"o}rn and Magnor, Marcus},
  booktitle = {Proc. {IEEE} International Symposium on Consumer Electronics ({ISCE})},
  pages = {117--120},
  month = {Jun},
  year = {2010}
}

Authors