Antialiasing for automultiscopic 3D displays

Zwicker, Matthias; Matusik, Wojciech; Durand, Frédo; Pfister, Hanspeter; Forlines, Clifton

doi:10.1145/1179849.1179983

Cited by 114 publications

(137 citation statements)

References 24 publications

Supporting

Mentioning

134

Contrasting

Order By: Relevance

“…Beyond this range, depth-of-field blur is usually applied in order to avoid interperspective aliasing [Zwicker et al 2006]. Therefore, two extreme strategies (Fig.…”

Section: Multi-view Autostereoscopic Displaymentioning

confidence: 99%

See 1 more Smart Citation

A luminance-contrast-aware disparity model and applications

Didyk¹,

Ritschel²,

Eisemann

et al. 2012

ACM Trans. Graph.

Self Cite

View full text Add to dashboard Cite

is manipulated (c), we quantify the perceived change considering luminance, and disparity (d), whereas previous work leads to wrong predictions (e) e. g., for low-texture areas, fog, or depth-of-field (arrows).Please note that all images in the paper, except for disparity and response maps are presented in anaglyph colors. AbstractBinocular disparity is one of the most important depth cues used by the human visual system. Recently developed stereo-perception models allow us to successfully manipulate disparity in order to improve viewing comfort, depth discrimination as well as stereo content compression and display. Nonetheless, all existing models neglect the substantial influence of luminance on stereo perception. Our work is the first to account for the interplay of luminance contrast (magnitude/frequency) and disparity and our model predicts the human response to complex stereo-luminance images. Besides improving existing disparity-model applications (e. g., difference metrics or compression), our approach offers new possibilities, such as joint luminance contrast and disparity manipulation or the optimization of auto-stereoscopic content. We validate our results in a user study, which also reveals the advantage of considering luminance contrast and its significant impact on disparity manipulation techniques.

show abstract

“…Beyond this range, depth-of-field blur is usually applied in order to avoid interperspective aliasing [Zwicker et al 2006]. Therefore, two extreme strategies (Fig.…”

Section: Multi-view Autostereoscopic Displaymentioning

confidence: 99%

“…Two modifications are required: First, based on the display specification, the focal range (φ 0 , φ 1 ) has to be computed. Second, a depth of field operator d(A, φ 0 , φ 1 ) has to be applied to the luminance content A [Zwicker et al 2006]. The solution is given by: arg min…”

Section: Multi-view Autostereoscopic Displaymentioning

confidence: 99%

A luminance-contrast-aware disparity model and applications

Didyk¹,

Ritschel²,

Eisemann

et al. 2012

ACM Trans. Graph.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To cover a larger degree of viewing angles at acceptable image quality, however, a large number of densely packed images are necessary [11][12][13]. By employing a prefiltering step the number of necessary samples can be reduced, but at the cost of more blurry output images [14][15][16].…”

Section: Related Workmentioning

confidence: 99%

Towards Plenoptic Raumzeit Reconstruction

Eisemann

Klose

Magnor

2011

Video Processing and Computational Video

View full text Add to dashboard Cite

Abstract. The goal of image-based rendering is to evoke a visceral sense of presense in a scene using only photographs or videos. A huge variety of different approaches have been developed during the last decade. Examining the underlying models we find three different main categories: view interpolation based on geometry proxies, pure image interpolation techniques and complete scene flow reconstruction. In this paper we present three approaches for free-viewpoint video, one for each of these categories and discuss their individual benefits and drawbacks. We hope that studying the different approaches will help others in making important design decisions when planning a free-viewpoint video system.

show abstract

“…depth of field (DOF) that is governed by their limited angular 32 resolution [10,11]. Due to the fact that most light field dis-33 plays only provide a low angular resolution, that is the number 34 of viewing zones, the supported DOF is so shallow that virtual 35 Figure 2: Simulated views of the three-birds scene for three different displays.…”

mentioning

confidence: 99%

“…As described in the main text, the expression for f ξ (d) depends on the type of automultiscopic display. For a conventional display [10]:…”

mentioning

confidence: 99%

Display adaptive 3D content remapping

Masiá

Wetzstein

Aliaga

et al. 2013

Computers & Graphics

View full text Add to dashboard Cite

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 a novel display-adaptive light field retargeting method, to provide high-quality, blur-free viewing experiences of the same content on a variety of display types, ranging from hand-held devices to movie theaters. We pose the problem as an optimization, which aims at modifying the original light field so that the displayed content appears sharp while preserving the original perception of depth. In particular, we run the optimization on the central view and use warping to synthesize the rest of the light field. We validate our method using existing objective metrics for both image quality (blur) and perceived depth. The proposed framework can also be applied to retargeting disparities in stereoscopic image displays, supporting both dichotomous and non-dichotomous comfort zones.

show abstract

Antialiasing for automultiscopic 3D displays

Cited by 114 publications

References 24 publications

A luminance-contrast-aware disparity model and applications

A luminance-contrast-aware disparity model and applications

Towards Plenoptic Raumzeit Reconstruction

Display adaptive 3D content remapping

Contact Info

Product

Resources

About