&lt;title&gt;Multiviewpoint autostereoscopic dispays from 4D-Vision GmbH&lt;/title&gt;

Schmidt, Alexander; Grasnick, Armin

doi:10.1117/12.468034

Cited by 55 publications

(32 citation statements)

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“…such as [SGI ], [Portoni et al 2000], [Schmidt and Grasnick 2002] and [Miniel et al 2004] is to render the 3D data in N passes using N different perspective (off-axis asymmetric sheared) view frustum configurations according to the multi-view setup as indicated in Figure 5. The resulting N images must then be combined into a spatial image conforming to the auto-stereoscopic display device.…”

Section: Image Generation Methodsmentioning

confidence: 99%

“…Wavelength-selective filter arrays are based on the same principle, except that the lenses are diagonally oriented and each of the three color channels of a RGB-pixel corresponds to a different view zone. Therefore, wavelength-selective filter arrays provide a sub-pixel resolution of view zones [Schmidt and Grasnick 2002;Lee and Ra 2005].…”

Section: Auto-stereoscopic Displaysmentioning

confidence: 99%

“…Modern auto-stereoscopic displays are mostly based on conventional flat-panel LCDs. With the help of optical filter elements, barriers and lenses, RGB-pixels are restricted and emitted into different zones in the viewing space [Dodgson 2002;Schmidt and Grasnick 2002;Dodgson 2005]. Two major optical filter elements are used today: lenticular sheets and wavelength-selective filter arrays.…”

Section: Auto-stereoscopic Displaysmentioning

confidence: 99%

See 2 more Smart Citations

Multi-view point splatting

Hübner

Zhang

Pajarola

2006

Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast As

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The fundamental drawback of current stereo and multi-view visualization is the necessity to perform multi pass rendering (one pass for each view) and subsequent image composition + masking for generating multiple stereo views. Thus the rendering time increases in general linearly with the number of views. In this paper we introduce a new method for multi-view splatting based on deferred blending. Our method exploits the programmability of modern graphic processing units (GPUs) for rendering multiple stereo views in a single rendering pass. The views are calculated directly on the GPU including sub-pixel wavelength selective views. We describe our algorithm precisely and provide details about its implementation. Experimental results demonstrate the performance advantage of our multi-view point splatting algorithm compared to the standard multi-pass approach. Multi-View Point Splatting AbstractThe fundamental drawback of current stereo and multi-view visualization is the necessity to perform multi pass rendering (one pass for each view) and subsequent image composition + masking for generating multiple stereo views. Thus the rendering time increases in general linearly with the number of views. In this paper we introduce a new method for multi-view splatting based on deferred blending. Our method exploits the programmability of modern graphic processing units (GPUs) for rendering multiple stereo views in a single rendering pass. The views are calculated directly on the GPU including sub-pixel wavelength selective views. We describe our algorithm precisely and provide details about its implementation. Experimental results demonstrate the performance advantage of our multi-view point splatting algorithm compared to the standard multi-pass approach.

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Section: Image Generation Methodsmentioning

confidence: 99%

Section: Auto-stereoscopic Displaysmentioning

confidence: 99%

Section: Auto-stereoscopic Displaysmentioning

confidence: 99%

See 1 more Smart Citation

Multi-view point splatting

Hübner

Zhang

Pajarola

2006

Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast As

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“…Commercial automultiscopic displays are usually based on either parallax barriers or lenticular sheets. Both, placed atop a high resolution panel, trade spatial resolution for angular resolution, and produce multiple images encoded as one image on the panel [Lipton and Feldman 2002;Schmidt and Grasnick 2002]. Multi-view projector systems have been also proposed [Matusik and Pfister 2004;Balogh 2006].…”

Section: Previous Workmentioning

confidence: 99%

Joint view expansion and filtering for automultiscopic 3D displays

Didyk¹,

Sitthi‐Amorn²,

Freeman³

et al. 2013

ACM Trans. Graph.

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Multi-view autostereoscopic displays provide an immersive, glassesfree 3D viewing experience, but they require correctly filtered content from multiple viewpoints. This, however, cannot be easily obtained with current stereoscopic production pipelines. We provide a practical solution that takes a stereoscopic video as an input and converts it to multi-view and filtered video streams that can be used to drive multi-view autostereoscopic displays. The method combines a phase-based video magnification and an interperspective antialiasing into a single filtering process. The whole algorithm is simple and can be efficiently implemented on current GPUs to yield a near real-time performance. Furthermore, the ability to retarget disparity is naturally supported. Our method is robust and works well for challenging video scenes with defocus blur, motion blur, transparent materials, and specularities. We show that our results are superior when compared to the state-of-the-art depth-based rendering methods. Finally, we showcase the method in the context of a real-time 3D videoconferencing system that requires only two cameras.

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“…Commercial automultiscopic displays [LF02,SG02] are based on parallax barriers or lenticular sheets placed on top of high resolution screens. Researchers have also used multi-projector systems [MP04, JJC…”

Section: Previous Workmentioning

confidence: 99%