01202nam 2200385 450 991041207740332120230827093730.0(CKB)5280000000243206(NjHacI)995280000000243206(EXLCZ)99528000000024320620230827d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierProceedings of the 2020 International Conference on Multimedia Retrieval /Cathal GurrinNew York, NY :Association for Computing Machinery,2020.©20201 online resource (605 pages)1-4503-7087-X Information retrievalInformation retrievalCongressesMultimedia systemsInformation retrieval.Information retrievalMultimedia systems.025.524Gurrin Cathal913647NjHacINjHaclBOOK9910412077403321Proceedings of the 2020 International Conference on Multimedia Retrieval3497181UNINA04182nam 22007935 450 991014433390332120200704062732.03-540-28627-610.1007/b104017(CKB)1000000000212644(DE-He213)978-3-540-28627-1(SSID)ssj0000190760(PQKBManifestationID)11171195(PQKBTitleCode)TC0000190760(PQKBWorkID)10183529(PQKB)10214266(MiAaPQ)EBC3087622(PPN)155206370(EXLCZ)99100000000021264420121227d2004 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierLeast Squares Orthogonal Distance Fitting of Curves and Surfaces in Space /by Sung Joon Ahn1st ed. 2004.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2004.1 online resource (XXII, 127 p.) Lecture Notes in Computer Science,0302-9743 ;3151Bibliographic Level Mode of Issuance: Monograph3-540-23966-9 Includes bibliographical references and index.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.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.Lecture Notes in Computer Science,0302-9743 ;3151ComputersMathematicsAlgebraNumerical analysisAlgorithmsComputer graphicsTheory of Computationhttps://scigraph.springernature.com/ontologies/product-market-codes/I16005Mathematics, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/M00009Algebrahttps://scigraph.springernature.com/ontologies/product-market-codes/M11000Numeric Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I1701XAlgorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Computer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Computers.Mathematics.Algebra.Numerical analysis.Algorithms.Computer graphics.Theory of Computation.Mathematics, general.Algebra.Numeric Computing.Algorithm Analysis and Problem Complexity.Computer Graphics.511/.42Ahn Sung Joonauthttp://id.loc.gov/vocabulary/relators/aut600503MiAaPQMiAaPQMiAaPQBOOK9910144333903321Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space2223513UNINA