Bayesian Stochastic Mesh Optimization for 3D reconstruction

  title={Bayesian Stochastic Mesh Optimization for 3D reconstruction},
  author={George Vogiatzis and Philip H. S. Torr and Roberto Cipolla},
We describe a mesh based approach to the problem of structure from motion. The input to the algorithm is a small set of images, sparse noisy feature correspondences (such as those provided by a Harris corner detector and cross correlation) and the camera geometry plus calibration. The output is a 3D mesh, that when projected onto each view, is visually consistent with the images. There are two contributions in this paper. The first is a Bayesian formulation in which simplicity and smoothness… CONTINUE READING
Highly Cited
This paper has 41 citations. REVIEW CITATIONS