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.
| Author(s): | Benjamin Meyer, Christian Lipski, Björn Scholz, Marcus Magnor |
|---|---|
| Published: | June 2010 |
| 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
Benjamin Meyer
Fmr. ResearcherChristian Lipski
Fmr. Senior ResearcherBjörn Scholz
ExternalMarcus Magnor
Director, Chair