Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Translated title of the contribution	Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization
Original language	English
Title of host publication	Proceedings of Computer Vision and Pattern Recognition (CVPR) 2011
Pages	2529-2536
DOIs	https://doi.org/10.1109/CVPR.2011.5995427
Publication status	Published - 2011

Access to Document

@inproceedings{bd3608ebbef941f6915796c55b1266fb,

title = "Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization",

author = "Matthew Harker and Paul O'Leary",

year = "2011",

doi = "10.1109/CVPR.2011.5995427",

language = "English",

pages = "2529--2536",

booktitle = "Proceedings of Computer Vision and Pattern Recognition (CVPR) 2011",

}

TY - GEN

T1 - Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization

AU - Harker, Matthew

AU - O'Leary, Paul

PY - 2011

Y1 - 2011

U2 - 10.1109/CVPR.2011.5995427

DO - 10.1109/CVPR.2011.5995427

M3 - Conference contribution

SP - 2529

EP - 2536

BT - Proceedings of Computer Vision and Pattern Recognition (CVPR) 2011

ER -