Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space
Ahn, Sung Joon
Produktnummer:
180473121689464951b53c3477385fe3f6
| Autor: | Ahn, Sung Joon |
|---|---|
| Themengebiete: | 2D curves 3D 3D surfaces SPIN algorithm algorithmic geometry algorithms computational geometry curve fitting least squares approximation |
| Veröffentlichungsdatum: | 07.12.2004 |
| EAN: | 9783540239666 |
| Sprache: | Englisch |
| Seitenzahl: | 127 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Berlin |
Produktinformationen "Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space"
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.
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