2008
DOI: 10.1111/j.1467-8659.2008.01191.x
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GPU‐Based Spherical Light Field Rendering with Per‐Fragment Depth Correction

Abstract: Image-based rendering techniques are a powerful alternative to traditional polygon-based computer graphics. This paper presents a novel light field rendering technique which performs per-pixel depth correction of rays for high-quality reconstruction. Our technique stores combined RGB and depth values in a parabolic 2D texture for every light field sample acquired at discrete positions on a uniform spherical setup. Image synthesis is implemented on the GPU as a fragment program which extracts the correct image … Show more

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Cited by 11 publications
(17 citation statements)
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“…In general, this requires prior knowledge or exhaustive geometry extraction in a pre‐processing step. Alternative techniques have been introduced based on range maps, yielding an interleaved RGBz light field representation [TRSKK08]. The light field samples are arranged in a spherical manner, thereby guaranteeing a uniform light field representation.…”
Section: Light Fieldsmentioning
confidence: 99%
See 2 more Smart Citations
“…In general, this requires prior knowledge or exhaustive geometry extraction in a pre‐processing step. Alternative techniques have been introduced based on range maps, yielding an interleaved RGBz light field representation [TRSKK08]. The light field samples are arranged in a spherical manner, thereby guaranteeing a uniform light field representation.…”
Section: Light Fieldsmentioning
confidence: 99%
“…In [TLRS*08], a system has been proposed that uses RGBz light fields for object recognition based on an analysis‐by‐synthesis approach. A current research setup described in [TRSKK08] includes a binocular acquisition system using a ToF camera in combination with adequate data processing to suppress artefacts at object silhouettes (see Figure 12). Furthermore, this approach includes the re‐binning of light field samples into the regular spherical light field representation, eliminating the requirement to locate the camera at a pre‐defined camera position on the sphere.…”
Section: Light Fieldsmentioning
confidence: 99%
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“…10 For example, Todt et al apply GPUs to the problem of accelerating image-based rendering in computer graphics. 11 In an unpublished technical report, Meng et al tested the performance of several plenoptic 1.0 rendering algorithms on various hardware: single core processors, multiprocessors, and a GeForce 7 series GPU. 12 They identified the underutilization of the GPU's resources, due to the fixed pipeline, as its drawback, an issue that has been removed entirely since the introduction of unified shader architecture GPUs by Nvidia.…”
Section: Related Workmentioning
confidence: 99%
“…In [31] a system has been proposed using RGBz lightfields for object recognition. A current research setup described in [32] includes a binocular acquisition system using a ToF-camera in combination with adequate data processing in order to suppress the depth artefacts (see Fig. 6).…”
Section: Lightfieldsmentioning
confidence: 99%