Learning-based view synthesis for light field cameras

@article{Kalantari2016LearningbasedVS,
  title={Learning-based view synthesis for light field cameras},
  author={Nima Khademi Kalantari and T. Wang and R. Ramamoorthi},
  journal={ACM Transactions on Graphics (TOG)},
  year={2016},
  volume={35},
  pages={1 - 10}
}
  • Nima Khademi Kalantari, T. Wang, R. Ramamoorthi
  • Published 2016
  • Computer Science
  • ACM Transactions on Graphics (TOG)
  • With the introduction of consumer light field cameras, light field imaging has recently become widespread. However, there is an inherent trade-off between the angular and spatial resolution, and thus, these cameras often sparsely sample in either spatial or angular domain. In this paper, we use machine learning to mitigate this trade-off. Specifically, we propose a novel learning-based approach to synthesize new views from a sparse set of input views. We build upon existing view synthesis… CONTINUE READING
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