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Proceedings Paper

Improving depth estimation from a plenoptic camera by patterned illumination
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Paper Abstract

Plenoptic (light-field) imaging is a technique that allows a simple CCD-based imaging device to acquire both spatially and angularly resolved information about the “light-field” from a scene. It requires a microlens array to be placed between the objective lens and the sensor of the imaging device1 and the images under each microlens (which typically span many pixels) can be computationally post-processed to shift perspective, digital refocus, extend the depth of field, manipulate the aperture synthetically and generate a depth map from a single image. Some of these capabilities are rigid functions that do not depend upon the scene and work by manipulating and combining a well-defined set of pixels in the raw image. However, depth mapping requires specific features in the scene to be identified and registered between consecutive microimages. This process requires that the image has sufficient features for the registration, and in the absence of such features the algorithms become less reliable and incorrect depths are generated. The aim of this study is to investigate the generation of depth-maps from light-field images of scenes with insufficient features for accurate registration, using projected patterns to impose a texture on the scene that provides sufficient landmarks for the registration methods.

Paper Details

Date Published: 21 June 2015
PDF: 6 pages
Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 952815 (21 June 2015); doi: 10.1117/12.2184742
Show Author Affiliations
Richard J. Marshall, The Univ. of Birmingham (United Kingdom)
Chris J. Meah, The Univ. of Birmingham (United Kingdom)
Massimo Turola, City Univ. London (United Kingdom)
Ela Claridge, The Univ. of Birmingham (United Kingdom)
Alex Robinson, The Univ. of Birmingham (United Kingdom)
Kai Bongs, The Univ. of Birmingham (United Kingdom)
Steve Gruppetta, City Univ. London (United Kingdom)
Iain B. Styles, The Univ. of Birmingham (United Kingdom)


Published in SPIE Proceedings Vol. 9528:
Videometrics, Range Imaging, and Applications XIII
Fabio Remondino; Mark R. Shortis, Editor(s)

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