Beyond parallax barriers: applying formal optimization methods to multilayer automultiscopic displays
This paper focuses on resolving long-standing limitations of parallax barriers by applying formal optimization methods. We consider two generalizations of conventional parallax barriers. First, we consider general two-layer architectures, supporting high-speed temporal variation with arbitrary opaci...
| Main Authors: | , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
SPIE,
2013-09-12T15:11:46Z.
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| Subjects: | |
| Online Access: | Get fulltext |
| Summary: | This paper focuses on resolving long-standing limitations of parallax barriers by applying formal optimization methods. We consider two generalizations of conventional parallax barriers. First, we consider general two-layer architectures, supporting high-speed temporal variation with arbitrary opacities on each layer. Second, we consider general multi-layer architectures containing three or more light-attenuating layers. This line of research has led to two new attenuation-based displays. The High-Rank 3D (HR3D) display contains a stacked pair of LCD panels; rather than using heuristically-defined parallax barriers, both layers are jointly-optimized using low-rank light field factorization, resulting in increased brightness, refresh rate, and battery life for mobile applications. The Layered 3D display extends this approach to multi-layered displays composed of compact volumes of light-attenuating material. Such volumetric attenuators recreate a 4D light field when illuminated by a uniform backlight. We further introduce Polarization Fields as an optically-efficient and computationally efficient extension of Layered 3D to multi-layer LCDs. Together, these projects reveal new generalizations to parallax barrier concepts, enabled by the application of formal optimization methods to multi-layer attenuation-based designs in a manner that uniquely leverages the compressive nature of 3D scenes for display applications. Massachusetts Institute of Technology. Media Laboratory National Science Foundation (U.S.) (Grant IIS-1116452) United States. Defense Advanced Research Projects Agency (Grant HR0011-10-C-0073) Alfred P. Sloan Foundation (Research Fellowship) United States. Defense Advanced Research Projects Agency (Young Faculty Award) MIT Camera Culture Group UBC Imager Laboratory |
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