Generalized Image Acquisition and Analysis

Three-Dimensional Kaleidoscopic Imaging

Planar mirror systems are capable of generating many virtual views, yet their practical use for multi-view imaging has been hindered by limiting configurations that enable view decomposition. In this work we lift those restrictions.

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On Plenoptic Multiplexing and Reconstruction

Gordon Wetzstein, Ivo Ihrke, Wolfgang Heidrich
In: International Journal of Computer Vision (IJCV).



Abstract

Photography has been striving to capture an ever increasing amount of visual information in a single image. Digital sensors, however, are limited to recording a small subset of the desired information at each pixel. A common approach to overcoming the limitations of sensing hardware is the optical multiplexing of high-dimensional data into a photograph. While this is a well-studied topic for imaging with color filter arrays, we develop a mathematical framework that generalizes multiplexed imaging to all dimensions of the plenoptic function. This framework unifies a wide variety of existing approaches to analyze and reconstruct multiplexed data in either the spatial or the frequency domain. We demonstrate many practical applications of our framework including high-quality light field reconstruction, the first comparative noise analysis of light field attenuation masks, and an analysis of aliasing in multiplexing applications.
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Bibtex

@article{Wetzstein:PlenopticMultiplexing:2012,
title={{On Plenoptic Multiplexing and Reconstruction}},
author={Gordon Wetzstein and Ivo Ihrke and Wolfgang Heidrich},
year={2013},
volume = 101,
number = 2,
year = {2013},
pages = {384--400},
}
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