2013
DOI: 10.1016/j.cag.2013.06.004
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Display adaptive 3D content remapping

Abstract: Glasses-free automultiscopic displays are on the verge of becoming a standard technology in consumer products. These displays are capable of producing the illusion of 3D content without the need of any additional eyewear. However, due to limitations in angular resolution, they can only show a limited depth of field, which translates into blurred-out areas whenever an object extrudes beyond a certain depth. Moreover, the blurring is device-specific, due to the different constraints of each display. We introduce… Show more

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Cited by 42 publications
(21 citation statements)
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References 30 publications
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“…New glasses-free 3D displays such as parallax-barrier or lightfield displays support only a relatively shallow depth range [Masia et al 2013]. As a result, the visual quality quickly degrades for objects that are further away from the screen plane.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…New glasses-free 3D displays such as parallax-barrier or lightfield displays support only a relatively shallow depth range [Masia et al 2013]. As a result, the visual quality quickly degrades for objects that are further away from the screen plane.…”
Section: Discussionmentioning
confidence: 99%
“…Didyk et al [2011] proposed a perceptual model for disparity that mimics the disparity processing done by the HVS and applies this for disparity manipulations. In the context of automultiscopic displays, the problem of extreme depth compression was addressed [Didyk et al 2012;Masia et al 2013;Chapiro et al 2014]. These techniques aim at fitting disparities into a very shallow range taking care that the crucial disparity details are preserved.…”
Section: Disparity Manipulationmentioning
confidence: 99%
“…Several techniques have been developed to correctly reconstruct light fields from recorded data [Isaksen et al 2000;Stewart et al 2003] and avoid both spatial and inter-view aliasing on automultiscopic displays [Zwicker et al 2006;Konrad and Agniel 2006;Didyk et al 2013]. To further adjust content to a particular device, a few techniques for multi-view content depth manipulation have been proposed [Zwicker et al 2006;Didyk et al 2012;Masia et al 2013]. They focus on depth manipulations to achieve the best trade-off between the blur introduced by inter-view antialiasing and presented depth.…”
Section: Light Field Processing and Manipulationmentioning
confidence: 99%
“…A key problem of these methods encounter is as follows: it will exposure rear object originally in the change of disparity, thus forming the image empty, and empty redraw is still a challenging task. Another image synthesis method uses image deformation [24][25][26][27]. It avoids the production of image cavities, but it will image distortion.…”
Section: Relevant Workingmentioning
confidence: 99%