Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images

@article{Kolev2012FastJE,
  title={Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images},
  author={Kalin Kolev and Thomas Brox and Daniel Cremers},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2012},
  volume={34},
  pages={493-505}
}
We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately in order to construct a 3D surface consistent with the estimated silhouettes, we compute the most probable 3D shape that gives rise to the observed color information. The probabilistic framework, based on Bayesian inference, enables robust 3D reconstruction by optimally taking into account the contribution of all views… CONTINUE READING