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Light Field Imaging through Hosehold Optics

International Symposium on Vision, Modeling and Visualization (VMV 2015)

Alexander Wender1, Julian Iseringhausen2, Bastian Goldlücke3, Martin Fuchs1, Matthias B. Hullin2

1 University of Stuttgart, Germany
2 University of Bonn, Germany


3 University of Konstanz, Germany

 


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Abstract

Although light fields are well-established as a tool in image-based rendering and computer vision, their capture is still at a relatively early stage. In this article, we search for imaging situations similar to uncalibrated integral optics, noticing that they are common in everyday life. We investigate light field capturing scenarios which are provided by commonly available items like cutlery as optical building blocks. Using a generic calibration approach based on structured light, we reconstruct the light path providing an unorthodox light field capturing setup. As the resulting data is unstructured and poorly sampled and thus unsuited for standard image-based rendering pipelines, we propose techniques for the processing of such light fields. Additionally, we have implemented a novel depth estimation scheme to guide the rendering process. We demonstrate the potential of these techniques on different scenes, both static and dynamic, recorded by combining a DSLR camera with household items. 


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Acknowledgements

This research was financially supported by the Juniorprofessorenprogramm Baden-Württemberg and the X-Rite Chair and Graduate School for Digital Material Appearance.