Salvador, J.; Casas, J.
IEEE transactions on image processing
Vol. 22, num. 9, p. 3342-3352
DOI: 10.1109/TIP.2013.2264818
Data de publicació: 2013-09
Article en revista
This paper provides an alternative solution to the costly representation of multi-view video data, which can be used for both rendering and scene analyses. Initially, a new efficient Monte Carlo discrete surface reconstruction method for foreground objects with static background is presented, which outperforms volumetric techniques and is suitable for GPU environments. Some extensions are also presented, which allow a speeding up of the reconstruction by exploiting multi-resolution and temporal correlations. Then, a fast meshing algorithm is applied, which allows interpolating a continuous surface from the discrete reconstructed points. As shown by the experimental results, the original video frames can be approximated with high accuracy by projecting the reconstructed foreground objects onto the original viewpoints. Furthermore, the reconstructed scene can be easily projected onto any desired virtual viewpoint, thus simplifying the design of free-viewpoint video applications. In our experimental results, we show that our techniques for reconstruction and meshing compare favorably with the state-of-the-art, and we also introduce a rule-of-thumb for effective application of the method with a good quality versus representation cost trade-off.
This paper provides an alternative solution to the
costly representation of multi-view video data, which can be
used for both rendering and scene analyses. Initially, a new
efficient Monte Carlo discrete surface reconstruction method for
foreground objects with static background is presented, which
outperforms volumetric techniques and is suitable for GPU
environments. Some extensions are also presented, which allow a
speeding up of the reconstruction by exploiting multi-resolution
and temporal correlations. Then, a fast meshing algorithm is
applied, which allows interpolating a continuous surface from
the discrete reconstructed points. As shown by the experimental
results, the original video frames can be approximated with high
accuracy by projecting the reconstructed foreground objects onto
the original viewpoints. Furthermore, the reconstructed scene
can be easily projected onto any desired virtual viewpoint, thus
simplifying the design of free-viewpoint video applications. In our
experimental results, we show that our techniques for reconstruc-
tion and meshing compare favorably with the state-of-the-art, and
we also introduce a rule-of-thumb for effective application of the
method with a good quality versus representation cost trade-off