| 书目名称 | Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space |
| 编辑 | Sung Joon Ahn |
| 视频video | http://file.papertrans.cn/584/583081/583081.mp4 |
| 概述 | Includes supplementary material: |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2004 |
| 关键词 | 2D curves; 3D; 3D surfaces; SPIN; algorithm; algorithmic geometry; algorithms; computational geometry; curve |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b104017 |
| isbn_softcover | 978-3-540-23966-6 |
| isbn_ebook | 978-3-540-28627-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2004 |
|Archiver|手机版|小黑屋|
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