Sparse Non-linear Least Squares Optimization for Geometric Vision

@inproceedings{Lourakis2010SparseNL,
  title={Sparse Non-linear Least Squares Optimization for Geometric Vision},
  author={Manolis I. A. Lourakis},
  booktitle={ECCV},
  year={2010}
}
Several estimation problems in vision involve the minimization of cumulative geometric error using non-linear least-squares fitting. Typically, this error is characterized by the lack of interdependence among certain subgroups of the parameters to be estimated, which leads to minimization problems possessing a sparse structure. Taking advantage of this sparseness during minimization is known to achieve enormous computational savings. Nevertheless, since the underlying sparsity pattern is… CONTINUE READING