Paper
27 January 2011 Content-based depth estimation in focused plenoptic camera
Kalin Atanassov, Sergio Goma, Vikas Ramachandra, Todor Georgiev
Author Affiliations +
Proceedings Volume 7864, Three-Dimensional Imaging, Interaction, and Measurement; 78640G (2011) https://doi.org/10.1117/12.872667
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Depth estimation in focused plenoptic camera is a critical step for most applications of this technology and poses interesting challenges, as this estimation is content based. We present an iterative algorithm, content adaptive, that exploits the redundancy found in focused plenoptic camera captured images. Our algorithm determines for each point its depth along with a measure of reliability allowing subsequent enhancements of spatial resolution of the depth map. We remark that the spatial resolution of the recovered depth corresponds to discrete values of depth in the captured scene to which we refer as slices. Moreover, each slice has a different depth and will allow extraction of different spatial resolutions of depth, depending on the scene content being present in that slice along with occluding areas. Interestingly, as focused plenoptic camera is not theoretically limited in spatial resolution, we show that the recovered spatial resolution is depth related, and as such, rendering of a focused plenoptic image is content dependent.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kalin Atanassov, Sergio Goma, Vikas Ramachandra, and Todor Georgiev "Content-based depth estimation in focused plenoptic camera", Proc. SPIE 7864, Three-Dimensional Imaging, Interaction, and Measurement, 78640G (27 January 2011); https://doi.org/10.1117/12.872667
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Cited by 8 scholarly publications.
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KEYWORDS
Cameras

Spatial resolution

Image resolution

Reliability

Digital filtering

Data centers

Diffusion

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