![Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space [electronic resource] /](/search/themes/bootstrap3/images/libros.png)
Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space [electronic resource] /
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.
| Main Authors: | , |
|---|---|
| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
2004
|
| Subjects: | Computer science., Computers., Algorithms., Numerical analysis., Computer graphics., Mathematics., Algebra., Computer Science., Theory of Computation., Mathematics, general., Numeric Computing., Algorithm Analysis and Problem Complexity., Computer Graphics., |
| Online Access: | http://dx.doi.org/10.1007/b104017 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|