2013
DOI: 10.1111/cgf.12067
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Rendering Gigaray Light Fields

Abstract: Figure 1: A 2.54 gigaray, 360 • panoramic light field (spatial resolution: 17,885×1,260 pixels, angular resolution: 11×11, 7.61 GB) at two different focus settings (top: far; center: near), and close-ups in native resolution (bottom), rendered at 8-43 fps (full aperture -smallest aperture, at a render resolution of 1280×720) using off-the-shelf graphics hardware. AbstractWe present a caching framework with a novel probability-based prefetching and eviction strategy applied to atomic cache units that enables in… Show more

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Cited by 33 publications
(17 citation statements)
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“…This would be prohibitively expensive for our typical light field resolution. To avoid this, we use a tile streaming and caching architecture similar to that used in previous work [Birklbauer et al 2013;Zhang and Li 2000].…”
Section: Tile Streaming Andmentioning
confidence: 99%
See 1 more Smart Citation
“…This would be prohibitively expensive for our typical light field resolution. To avoid this, we use a tile streaming and caching architecture similar to that used in previous work [Birklbauer et al 2013;Zhang and Li 2000].…”
Section: Tile Streaming Andmentioning
confidence: 99%
“…If there isn't enough time in a given frame to decode all of the texture data needed for some of the fine-level disks, then we also draw the coarse level disk in that region. Progressive rendering has been used to render light fields before [Birklbauer et al 2013;Sloan et al 1997]. Our disk-based representation makes for an easy implementation as we can render any combination of fine and coarse disks, and they blend naturally in the output.…”
Section: Rendering Detailsmentioning
confidence: 99%
“…In order to overcome this limitation, several light-field superresolution methods have been developed [3,11]. Light-field panorama [2] and disparity estimation [13,16] are also interesting applications. In the robotics field, light-field cameras composed of a camera array have shown their usefulness for visual odometry and visual SLAM [6,4].…”
Section: Introductionmentioning
confidence: 99%
“…By using more no of vertical cameras we generate light field panoramas with larger vertical field of view. Our system directly captures the light field using cylindrical parameterization, and hence is computationally inexpensive compared to systems presented in [2] and [1] the first of which requires conversion of the captured light field to a focal stack followed by cylindrical parameterization, while the later has to resort to a non uniform sampling approach. Additionally, we add true zoom with light field images which allow user to zoom and refocus simultaneously.…”
Section: B Results and Discussionmentioning
confidence: 99%
“…A detailed review of panorama imaging can be found in [9]. In [2], the authors capture overlapping light fields of a scene using the plenoptic camera. While in [1] the authors re-parameterize the captured light field to achieve regular ray sampling of light field (Plenoptic Cameras employs two plane parameterization which gives irregular sampling when used for panorama imaging as discussed in section 3).…”
Section: Related Workmentioning
confidence: 99%