Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization
Douglas Lanman, Matthew Hirsch, Yunhee Kim, Ramesh Raskar
In ACM Transactions on Graphics, 29(6), December 2010.
Abstract: We optimize automultiscopic displays built by stacking a pair of modified LCD panels. To date, such dual-stacked LCDs have used heuristic parallax barriers for view-dependent imagery: the front LCD shows a fixed array of slits or pinholes, independent of the multi-view content. While prior works adapt the spacing between slits or pinholes, depending on viewer position, we show both layers can also be adapted to the multi-view content, increasing brightness and refresh rate. Unlike conventional barriers, both masks are allowed to exhibit non-binary opacities. It is shown that any 4D light field emitted by a dual-stacked LCD is the tensor product of two 2D masks. Thus, any pair of 1D masks only achieves a rank-1 approximation of a 2D light field. Temporal multiplexing of masks is shown to achieve higher-rank approximations. Non-negative matrix factorization (NMF) minimizes the weighted Euclidean distance between a target light field and that emitted by the display. Simulations and experiments characterize the resulting content-adaptive parallax barriers for low-rank light field approximation.
Keyword(s): automultiscopic 3D displays, light fields, parallax barriers, weighted non-negative matrix and tensor factorization
Article URL: http://dx.doi.org/10.1145/1882261.1866164
BibTeX format:
@article{Lanman:2010:CPB,
  author = {Douglas Lanman and Matthew Hirsch and Yunhee Kim and Ramesh Raskar},
  title = {Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization},
  journal = {ACM Transactions on Graphics},
  volume = {29},
  number = {6},
  pages = {163:1--163:10},
  month = dec,
  year = {2010},
}
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