Mechanisms for Propagating Surface Information in Three-Dimensional Reconstruction

@inproceedings{2010MechanismsFP,
  title={Mechanisms for Propagating Surface Information in Three-Dimensional Reconstruction},
  author={},
  year={2010}
}
  • Published 2010
Bayesian and other related statistical techniques have emerged as a dominant paradigm in computer vision for estimating 3-D surfaces in the presence of noisy and sparse depth cues. In particular, for 3-D reconstruction problems these techniques have been implemented using Markov random fields (MRFs), which are probabilistic models that express how variables… CONTINUE READING