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QRkit: Sparse, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision [article]

Jan Svoboda, Thomas Cashman, Andrew Fitzgibbon
2018 arXiv   pre-print
This accuracy can be regained using solvers based on QR rather than Cholesky decomposition, but the absence of sparse QR solvers for common sparsity patterns found in computer vision means that many applications  ...  For problems with very particular sparsity structures, these elements can be composed together in 'kit' form, hence the name QRkit.  ...  ) to store and compute the QR decomposition.  ... 
arXiv:1802.03773v1 fatcat:ffmisedkiffr3o7udxd2zdofle