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Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space

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  • 127 Seiten
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Due to the continuing progress of sensor technology, the availability of 3-D cameras is already foreseeable. These cameras are ca... Weiterlesen
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Beschreibung

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.



Inhalt

1. Introduction.- 2. Least-Squares Orthogonal Distance Fitting.- 3. Orthogonal Distance Fitting of Implicit Curves and Surfaces.- 4. Orthogonal Distance Fitting of Parametric Curves and Surfaces.- 5. Object Reconstruction from Unordered Point Cloud.- 6. Conclusions.

Produktinformationen

Titel: Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space
Autor:
EAN: 9783540286271
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Veröffentlichung: 29.10.2004
Digitaler Kopierschutz: Wasserzeichen
Anzahl Seiten: 127

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"