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

Matthew Harker; Paul O'Leary

doi:10.1109/CVPR.2011.5995427

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

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

Matthew Harker, Paul O'Leary

Lehrstuhl für Automation und Messtechnik (530)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband

34 Zitate (Scopus)

Titel in Übersetzung	Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization
Originalsprache	Englisch
Titel	Proceedings of Computer Vision and Pattern Recognition (CVPR) 2011
Seiten	2529-2536
DOIs	https://doi.org/10.1109/CVPR.2011.5995427
Publikationsstatus	Veröffentlicht - 2011

Zugriff auf Dokument

10.1109/CVPR.2011.5995427

Dieses zitieren

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year = "2011",

doi = "10.1109/CVPR.2011.5995427",

language = "English",

pages = "2529--2536",

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

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DO - 10.1109/CVPR.2011.5995427

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

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