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.
Produktkennzeichnungen
ISBN-10
3540239669
ISBN-13
9783540239666
eBay Product ID (ePID)
44569101
Produkt Hauptmerkmale
Produktart
Lehrbuch
Sprache
Englisch
Anzahl der Seiten
148 Seiten
Verlag
Springer Berlin Heidelberg, Springer Berlin
Publikationsname
Least Squares Orthogonal Distance Fitting of Curves And Surfaces in Space
Autor
Sung Joon Ahn
Format
Taschenbuch
Erscheinungsjahr
2004
Zusätzliche Produkteigenschaften
Hörbuch
No
Inhaltsbeschreibung
Paperback
Item Length
23cm
Item Height
8mm
Item Width
15cm
Nummer Innerhalb der Serie
3151
Item Weight
236g
Buchreihe
Lecture Notes in Computer Science
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