Publikation:

What Sparse Light Field Coding Reveals about Scene Structure

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2016

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https://doi.org/10.1109/CVPR.2016.355
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European Union (EU): 336978

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LIA - Light Field Imaging and Analysis
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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Piscataway, NJ: IEEE, 2016, pp. 3262-3270. ISBN 978-1-4673-8851-1. Available under: doi: 10.1109/CVPR.2016.355

Zusammenfassung

In this paper, we propose a novel method for depth estimation in light fields which employs a specifically designed sparse decomposition to leverage the depth-orientation relationship on its epipolar plane images. The proposed method learns the structure of the central view and uses this information to construct a light field dictionary for which groups of atoms correspond to unique disparities. This dictionary is then used to code a sparse representation of the light field. Analyzing the coefficients of this representation with respect to the disparities of their corresponding atoms yields an accurate and robust estimate of depth. In addition, if the light field has multiple depth layers, such as for reflective or transparent surfaces, statistical analysis of the coefficients can be employed to infer the respective depth of the superimposed layers.

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004 Informatik

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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 27. Juni 2016 - 30. Juni 2016, Las Vegas, NV, USA
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ISO 690JOHANNSEN, Ole, Antonin SULC, Bastian GOLDLÜCKE, 2016. What Sparse Light Field Coding Reveals about Scene Structure. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA, 27. Juni 2016 - 30. Juni 2016. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Piscataway, NJ: IEEE, 2016, pp. 3262-3270. ISBN 978-1-4673-8851-1. Available under: doi: 10.1109/CVPR.2016.355
BibTex
@inproceedings{Johannsen2016Spars-38202,
  year={2016},
  doi={10.1109/CVPR.2016.355},
  title={What Sparse Light Field Coding Reveals about Scene Structure},
  isbn={978-1-4673-8851-1},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={3262--3270},
  author={Johannsen, Ole and Sulc, Antonin and Goldlücke, Bastian}
}
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