Generalized Image Acquisition and Analysis

A Theory of Plenoptic Multiplexing

Multiplexing is a common technique for encoding highdimensional image data into a single, two-dimensional image. Examples of spatial multiplexing include Bayer patterns to capture color channels, and integral images to encode light fields. In the Fourier domain, optical heterodyning has been used to acquire light fields. In this paper, we develop a general theory of multiplexing the dimensions of the plenoptic function onto an image sensor. Our theory enables a principled comparison of plenoptic multiplexing schemes, including noise analysis, as well as the development of a generic reconstruction algorithm. The framework also aides in the identification and optimization of novel multiplexed imaging applications.

Projects

State of the Art in Computational Fabrication and Display of Material Appearance.

Matthias Hullin, Ivo Ihrke, Wolfgang Heidrich, Tim Weyrich, Gerwin Damberg, Martin Fuchs
Eurographics STAR 2013



Abstract

After decades of research on digital representations of material and object appearance, computer graphics has more recently turned to the problem of creating physical artifacts with controllable appearance characteristics. While this work has mostly progressed in two parallel streams – display technologies as well as novel fabrication processes – we believe there is a large overlap and the potential for synergies between these two approaches. In this report, we summarize research efforts from the worlds of fabrication display, and categorize the different approaches into a common taxonomy. We believe that this report can serve as a basis for systematic exploration of the design space in future research.

Bibtex

@inproceedings{Hullin13:STAR,
author = {Matthias B. Hullin and Ivo Ihrke and Wolfgang Heidrich and Tim Weyrich and Gerwin Damberg and Martin Fuchs},
title = {State of the Art in Computational Fabrication and Display of Material Appearance},
booktitle = {STAR Proceedings of Eurographics},
year = 2013,
pages = {xx--yy},
}
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