Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo

@article{Adam2017BayesianTF,
  title={Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo},
  author={Amit Adam and Christoph Dann and Omer Yair and Shai Mazor and Sebastian Nowozin},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2017},
  volume={39},
  pages={851-864}
}
We propose a computational model for shape, illumination and albedo inference in a pulsed time-of-flight (TOF) camera. In contrast to TOF cameras based on phase modulation, our camera enables general exposure profiles. This results in added flexibility and requires novel computational approaches. To address this challenge we propose a generative probabilistic model that accurately relates latent imaging conditions to observed camera responses. While principled, realtime inference in the model… CONTINUE READING