Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization
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Raskar_Content-Adaptive.pdf
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Author(s) • • •
Lanman, Douglas R.
Hirsch, Matthew Waggener
Kim, Yun Hee
Raskar, Ramesh
Date Issued
December 2010
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery
Citation
Douglas Lanman, Matthew Hirsch, Yunhee Kim, and Ramesh Raskar. 2010. Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization. In ACM SIGGRAPH Asia 2010 papers (SIGGRAPH ASIA '10). ACM, New York, NY, USA, , Article 163 , 10 pages. DOI=10.1145/1866158.1866164 http://doi.acm.org/10.1145/1866158.1866164
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1866158.1866164