Viewpoint Vector Rendering for Efficient Elemental Image Generation

Park, Kyoung Shin; Min, Sung−Wook; Cho, Yongjoo

doi:10.1093/ietisy/e90-1.1.233

Cited by 35 publications

(15 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8 Here, a depth camera acquires the 3-D information of the real-world object (depth and color) at the same time, and a point cloud object space is reconstructed initially based on the acquired 3-D information. When the positions for all object points are set, the EIA is generated from the object space through a virtual lens array, i.e., a CGII algorithm, for each object point and is sent directly to the display device, while the lens array, which has the same specifications as the virtual lens array, reconstructs it as a 3-D image.…”

Section: Introductionmentioning

confidence: 99%

Real object-based integral imaging system using a depth camera and a polygon model

et al. 2017

View full text Add to dashboard Cite

, "Real object-based integral imaging system using a depth camera and a polygon model," Opt. Eng. 56(1), 013110 (2017), doi: 10.1117/1.OE.56.1.013110. Abstract. An integral imaging system using a polygon model for a real object is proposed. After depth and color data of the real object are acquired by a depth camera, the grid of the polygon model is converted from the initially reconstructed point cloud model. The elemental image array is generated from the polygon model and directly reconstructed. The polygon model eliminates the failed picking area between the points of a point cloud model, so at least the quality of the reconstructed 3-D image is significantly improved. The theory is verified experimentally, and higher-quality images are obtained.

show abstract

Section: Introductionmentioning

confidence: 99%

Real object-based integral imaging system using a depth camera and a polygon model

et al. 2017

View full text Add to dashboard Cite

show abstract

“…6 In order to process multiple light rays at the same time, the parallel group rendering [7][8][9] and viewpoint vector rendering techniques use an orthographic projection model. [10][11][12] However, parallel group rendering and viewpoint vector rendering are not suitable for autostereoscopic multiview displays because a multiview display has a large number of directional light rays that arise due to the use of slanted lenses. To address this problem, Verkel introduced a multiview rendering (MVR) algorithm, which renders each group of rays from the same viewpoint by using a perspective projection model.…”

Section: Introductionmentioning

confidence: 99%

Direct light field rendering without 2D image generation

et al. 2016

View full text Add to dashboard Cite

Rapid developments in 3D display technologies have enabled consumers to enjoy 3D environments in an increasingly immersive manner through various display systems such as stereoscopic, multiview, and light field displays. However, there is a corresponding increase in the complexity of the conventional multiview rendering process in the attempt to achieve a sufficient level of reality, which may hinder the further commercial viability of 3D display products based on such a conventional approach. This paper proposes a novel method, the so-called direct light field rendering, which can compose the display 3D panel image without reconstructing all the multiview images beforehand. Interpreting the 3D display as sampling in the light field domain, we attempt to directly compute only the necessary samples, not the entire light fields or multiview images. Our proposed algorithm involves the solving of linear systems of two variables, thereby requiring remarkably low computational complexities. Experimental results show that the computation time and memory usage remain as little as 12% and 1% of those required by the conventional one.Keywordsautostereoscopic display, depth image based rendering, light field rendering.

show abstract

“…Also important is to fix the scale of the displayed scene, and the position of the reference plane. In this sense, many algorithms have been proposed for the conversion of the EIs [10][11][12][13][14][15][16][17][18]. However, they have the drawback that an important part of the plenoptic map is lost in the conversion, or that neither the scale nor the position of the displayed scene can be flexibly modified.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional display by smart pseudoscopic-to-orthoscopic conversion with tunable focus

et al. 2014

View full text Add to dashboard Cite

The original aim of the integral-imaging concept, reported by Gabriel Lippmann more than a century ago, is the capture of images of 3D scenes for their projection onto an autostereoscopic display. In this paper we report a new algorithm for the efficient generation of microimages for their direct projection onto an integral-imaging monitor. Like our previous algorithm, the smart pseudoscopic-to-orthoscopic conversion (SPOC) algorithm, this algorithm produces microimages ready to produce 3D display with full parallax. However, this new algorithm is much simpler than the previous one, produces microimages free of black pixels, and permits fixing at will, between certain limits, the reference plane and the field of view of the displayed 3D scene. Proofs of concept are illustrated with 3D capture and 3D display experiments.

show abstract

Viewpoint Vector Rendering for Efficient Elemental Image Generation

Cited by 35 publications

References 0 publications

Real object-based integral imaging system using a depth camera and a polygon model

Real object-based integral imaging system using a depth camera and a polygon model

Direct light field rendering without 2D image generation

Three-dimensional display by smart pseudoscopic-to-orthoscopic conversion with tunable focus

Contact Info

Product

Resources

About