Optimal Motion From Image Sequences : A Riemannian ViewpointYi

@inproceedings{seck1998OptimalMF,
  title={Optimal Motion From Image Sequences : A Riemannian ViewpointYi},
  author={Ma Jana Ko seck},
  year={1998}
}
  • Ma Jana Ko seck
  • Published 1998
Motion recovery from image correspondences is typically a problem of optimizing an objective function associated with the epipolar (or Longuet-Higgins) constraint. This objective function is deened on the so called essential manifold, which has a nice intrinsic Riemannian structure. Based on existing optimization techniques on Riemannian manifolds, in particular on Stiefel or Grass-mann manifolds, we propose a Riemannian Newton algorithm to solve the motion recovery problem, making use of the… CONTINUE READING
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