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 dev...

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Détails bibliographiques
Auteur principal: Ahn, Sung Joon
Format: Livre numérique
Langue:Anglais
Publié: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in computer science 3151
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Edition sous un autre format:• Least squares orthogonal distance fitting of curves and surfaces in space, Sung Joon Ahn, Berlin, Springer, 2004, 1 vol. (XX-125 p.), Lecture notes in computer science, 3-540-23966-9
• Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space, Texte imprimé, 9783662209462
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Résumé: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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Archives Springer e-books (Licence nationale)
ISBN:9783540286271 (PDF)
ISSN:1611-3349
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