Bild 1 von 2

Standardbild

Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space Sung J - Bild 1 von 2

Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space Sung J - Bild 2 von 2

Least Squares Orthogonal Distance Fitting of Curves And Surfaces in Space von Sung Joon Ahn (2004, Taschenbuch)

buch-mimpf (20109)

100% positive Bewertungen

Preis:

€ 53,49

(inkl. MwSt.)

Kostenloser Versand

Lieferung ca. Do, 26. Jun - Sa, 28. Jun

Rücknahme:

1 Monat Rückgabe. Käufer zahlt Rückversand. Wenn Sie ein eBay-Versandetikett verwenden, werden die Kosten dafür von Ihrer Rückerstattung abgezogen. Für eBay Plus-Mitglieder ist der Rückversand im Inland kostenlos. Mehr erfahren.

Artikelzustand:

Neu

Titel: Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space, Einband: Taschenbuch, Autor: Sung Joon Ahn, Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, Sprache: Englisch, Seiten: 148, Maße: 235x155x9 mm, Gewicht: 236 g, Verkäufer: buch-mimpf, Schlagworte: Approximation - Differenzenapproximation Näherungsrechnung Rechnen / Näherungsrechnung Automation - Automatisierung 2D curves 3D 3D surfaces Algorithm analysis and problem complexity Computational Geometry Model Object reconstruction SPIN algorithm algorithmic geometry algorithms curve fitting least squares approximation numerical methods orthogonal distance fitting surface fitting.

Sammeln Sie 53 Punkte | Mehr erfahrenzu eBay Plus-Punkten - wird in neuem Fenster oder Tab geöffnet

Über dieses Produkt

Produktinformation

Due to the continuing progress of sensor technology, the availability of 3-D cameras is already foreseeable. These cameras are capable of generating a large set of measurement points within a very short time. There are a variety of 3-D camera applications in the fields of robotics, rapid product development and digital factories. In order to not only visualize the point cloud but also to recognize 3-D object models from the point cloud and then further process them in CAD systems, efficient and stable algorithms for 3-D information processing are required. For the automatic segmentation and recognition of such geometric primitives as plane, sphere, cylinder, cone and torus in a 3-D point cloud, efficient software has recently been developed at the Fraunhofer IPA by Sung Joon Ahn. This book describes in detail the complete set of 'best-fit' algorithms for general curves and surfaces in space which are employed in the Fraunhofer software.