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[null,"1.","Record Nr.",null,"UNINA9910144333903321"]
[null,null,"Autore",null,"Ahn Sung Joon"]
[null,null,"Titolo",null,"Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space / / by Sung Joon Ahn"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004"]
[null,null,"ISBN",null,"3-540-28627-6"]
[null,null,"Edizione",null,"[1st ed. 2004.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXII, 127 p.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 0302-9743 ; ; 3151"]
[null,null,"Disciplina",null,"511/.42"]
[null,null,"Soggetti",null,"Computers"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"Algebra"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Computer graphics"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Mathematics, general"]
[{"$nulls":4},"Numeric Computing"]
[{"$nulls":4},"Algorithm Analysis and Problem Complexity"]
[{"$nulls":4},"Computer Graphics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"1. Introduction -- 2. Least-Squares Orthogonal Distance Fitting -- 3. Orthogonal Distance Fitting of Implicit Curves and Surfaces -- 4. Orthogonal Distance Fitting of Parametric Curves and Surfaces -- 5. Object Reconstruction from Unordered Point Cloud -- 6. Conclusions."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"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."]