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Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space
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资源说明：Due to the continuing progress of sensor technology, the availability of 3-D cam-
eras is already foreseeable. These cameras are capable of generating a large set of
measurement points within a very short time. There is a variety of 3-D camera ap-
plications 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 mod-
els 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 auto-
matic 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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