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Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling

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2013

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Diebold, Maximilian

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https://doi.org/10.2312/PE.VMV.VMV13.145-152
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DIETER FELLNER, , ed.. VMV 2013 : Vision Modeling and Visualization. Goslar: Eurographics Association, 2013, pp. 145-152. ISBN 978-3-905674-51-4. Available under: doi: 10.2312/PE.VMV.VMV13.145-152

Zusammenfassung

In contrast to traditional imaging, the higher dimensionality of a light field offers directional information about the captured intensity. This information can be leveraged to estimate the disparity of 3D points in the captured scene. A recent approach to estimate disparities analyzes the structure tensor and evaluates the orientation on epipolar plane images (EPIs). While the resulting disparity maps are generally satisfying, the allowed disparity range is small and occlusion boundaries can become smeared and noisy. In this paper, we first introduce an approach to extend the total allowed disparity range. This allows for example the investigation of camera setups with a larger baseline, like in the Middlebury 3D light fields. Second, we introduce a method to handle the difficulties arising at boundaries between fore- and background objects to achieve sharper edge transitions.

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Annual Workshop on Vision, Modeling and Visualization : VMV, 11. Sept. 2013 - 13. Sept. 2013, Lugano
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ISO 690DIEBOLD, Maximilian, Bastian GOLDLÜCKE, 2013. Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling. Annual Workshop on Vision, Modeling and Visualization : VMV. Lugano, 11. Sept. 2013 - 13. Sept. 2013. In: DIETER FELLNER, , ed.. VMV 2013 : Vision Modeling and Visualization. Goslar: Eurographics Association, 2013, pp. 145-152. ISBN 978-3-905674-51-4. Available under: doi: 10.2312/PE.VMV.VMV13.145-152
BibTex
@inproceedings{Diebold2013Epipo-29115,
  year={2013},
  doi={10.2312/PE.VMV.VMV13.145-152},
  title={Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling},
  isbn={978-3-905674-51-4},
  publisher={Eurographics Association},
  address={Goslar},
  booktitle={VMV 2013 : Vision Modeling and Visualization},
  pages={145--152},
  editor={Dieter Fellner},
  author={Diebold, Maximilian and Goldlücke, Bastian}
}
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