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Proceedings Paper

Content-based depth estimation in focused plenoptic camera
Author(s): Kalin Atanassov; Sergio Goma; Vikas Ramachandra; Todor Georgiev
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Paper 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.

Paper Details

Date Published: 27 January 2011
PDF: 10 pages
Proc. SPIE 7864, Three-Dimensional Imaging, Interaction, and Measurement, 78640G (27 January 2011); doi: 10.1117/12.872667
Show Author Affiliations
Kalin Atanassov, Qualcomm Inc. (United States)
Sergio Goma, Qualcomm Inc. (United States)
Vikas Ramachandra, Qualcomm Inc. (United States)
Todor Georgiev, Adobe Systems Inc. (United States)

Published in SPIE Proceedings Vol. 7864:
Three-Dimensional Imaging, Interaction, and Measurement
J. Angelo Beraldin; Ian E. McDowall; Atilla M. Baskurt; Margaret Dolinsky; Geraldine S. Cheok; Michael B. McCarthy; Ulrich Neuschaefer-Rube, Editor(s)

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