文件名称:
Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space
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文件大小: 3mb
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上传时间: 2018-09-14
详细说明： 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 inf ormation 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. ...展开详情收缩
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