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

Matthew Harker; Paul O'Leary

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: Konferenzbeitrag › Poster › Forschung › Begutachtung

34 Zitate (Scopus)

Titel in Übersetzung	Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization
Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 2011
Veranstaltung	IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Colorado Springs, USA / Vereinigte Staaten Dauer: 20 Juni 2011 → 25 Juni 2011

Konferenz

Konferenz	IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Land/Gebiet	USA / Vereinigte Staaten
Ort	Colorado Springs
Zeitraum	20/06/11 → 25/06/11

Dieses zitieren

@conference{a90fd0cdc4d041e1af9726d4ff130567,

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",

language = "English",

note = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ; Conference date: 20-06-2011 Through 25-06-2011",

}

Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization. / Harker, Matthew; O'Leary, Paul.
2011. Postersitzung präsentiert bei IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Colorado, USA / Vereinigte Staaten.

Publikation: Konferenzbeitrag › Poster › Forschung › Begutachtung