2015
DOI: 10.1002/sdtp.10005
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P‐79: Maximizing the 2D Viewing Field of a Computational Two‐layer Light Field 3D Display

Abstract: In this paper, we propose a method to extend the viewing field of a compressive light field display by optimizing the maximum viewing angle. The difference from existing work is the improvement in the overall visual effect of compressive light field display rather than only extending the viewing field region. Sliding window scanning and viewer detection are also used for determining the target region and optimizing the display. Experiments demonstrate that the proposed method provides a relatively desirable im… Show more

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Cited by 6 publications
(2 citation statements)
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References 8 publications
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“…A paper from TP Vision [10] shows a hyperbolic fall-off in an 8-view multiview display, indicating that in this case the resolution decreases in inverse proportion to the distance from the screen. Photographs in MIT's tensor display paper [11]. show blurring, like photographs taken with a large aperture.…”
Section: Theory a Display As A Low-pass Filtermentioning
confidence: 99%
“…A paper from TP Vision [10] shows a hyperbolic fall-off in an 8-view multiview display, indicating that in this case the resolution decreases in inverse proportion to the distance from the screen. Photographs in MIT's tensor display paper [11]. show blurring, like photographs taken with a large aperture.…”
Section: Theory a Display As A Low-pass Filtermentioning
confidence: 99%
“…In Lanman, it proves the limit of depth of field for MLLFD, but without an extremely high‐speed screen, the theoretical limit cannot be achieved with on‐shelf hardware resources for a practical prototype. The optimized view angle with eye tracking is introduced in Chen et al ., and the designed view angle for static content with parallax is reported in Wang et al ., but the real perceived view angle for a static display has not been measured. More subjective results of MLLFDs are shown in Gotoda; however, there is no quantified measurement for these subjective results on different kinds of MLLFDs.…”
Section: Related Workmentioning
confidence: 99%