Light - fields of Circular Camera Arrays. Cserkaszky, A., Kara, P. A., Barsi, A., Martini, M. G., & Balogh, T. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 241-245, Sep., 2018.
doi  abstract   bibtex   
The ray structure and sampling properties of different light-field representations inherently determine their use-cases. Currently prevalent linear data structures do not allow for joint processing of light-fields captured from multiple sides of a scene. In this paper, we review and highlight the differences in capturing and reconstruction between light-fields captured with linear and circular camera arrays. We also examine and improve the processing of light-fields captured with circular camera arrays with a focus on their use in reconstructing dense light-fields, by proposing a new resampling technique for circular light-fields. The proposed circular epipolar light-field structure creates a simple sinusoidal relation between the objects of the scene and their curves in the epipolar image, opening the way of efficient reconstruction of circular light-fields.
@InProceedings{8552998,
  author = {A. Cserkaszky and P. A. Kara and A. Barsi and M. G. Martini and T. Balogh},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Light - fields of Circular Camera Arrays},
  year = {2018},
  pages = {241-245},
  abstract = {The ray structure and sampling properties of different light-field representations inherently determine their use-cases. Currently prevalent linear data structures do not allow for joint processing of light-fields captured from multiple sides of a scene. In this paper, we review and highlight the differences in capturing and reconstruction between light-fields captured with linear and circular camera arrays. We also examine and improve the processing of light-fields captured with circular camera arrays with a focus on their use in reconstructing dense light-fields, by proposing a new resampling technique for circular light-fields. The proposed circular epipolar light-field structure creates a simple sinusoidal relation between the objects of the scene and their curves in the epipolar image, opening the way of efficient reconstruction of circular light-fields.},
  keywords = {cameras;data structures;image capture;image reconstruction;image representation;image sampling;rendering (computer graphics);linear data structures;linear camera arrays;dense light-fields reconstruction;resampling technique;epipolar image;circular epipolar light-field structure;light-field representations;sampling properties;ray structure;circular camera arrays;Cameras;Arrays;Image reconstruction;Array signal processing;Europe;Two dimensional displays;light-field;capture configuration;camera array},
  doi = {10.23919/EUSIPCO.2018.8552998},
  issn = {2076-1465},
  month = {Sep.},
}

Downloads: 0