Bayesian Stochastic Mesh Optimization for 3D reconstruction

@inproceedings{Vogiatzis2003BayesianSM,
  title={Bayesian Stochastic Mesh Optimization for 3D reconstruction},
  author={George Vogiatzis and Philip H. S. Torr and Roberto Cipolla},
  booktitle={BMVC},
  year={2003}
}
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
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