LEADER 04243nam 22006255 450 001 9910736026803321 005 20251008161950.0 010 $a9789819907762 010 $a9819907764 024 7 $a10.1007/978-981-99-0776-2 035 $a(MiAaPQ)EBC30670633 035 $a(Au-PeEL)EBL30670633 035 $a(DE-He213)978-981-99-0776-2 035 $a(PPN)272252298 035 $a(CKB)27899959400041 035 $a(OCoLC)1392344378 035 $a(EXLCZ)9927899959400041 100 $a20230731d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Methods for Objects Reconstruction $eFrom 3D Vision to 3D Printing /$fedited by Emiliano Cristiani, Maurizio Falcone ?, Silvia Tozza 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (185 pages) 225 1 $aSpringer INdAM Series,$x2281-5198 ;$v54 311 08$aPrint version: Cristiani, Emiliano Mathematical Methods for Objects Reconstruction Singapore : Springer,c2023 9789819907755 327 $a1 Emiliano Cristiani, Maurizio Falcone, and Silvia Tozza, An Overview of Some Mathematical Techniques and Problems Linking 3D Vision to 3D Printing -- 2 Georg Radow, Giuseppe Rodriguez, Ashkan Mansouri Yarahmadi, and Michael Breuß, Photometric Stereo with Non-Lambertian Preprocessing and Hayakawa Lighting Estimation for Highly Detailed Shape Reconstruction -- 3 Toby Collins and Adrien Bartoli, Shape-from-Template with Camera Focal Length Estimation -- 4 J. Andreas Bærentzen, Ida Bukh Villesen, Ebba Dellwik, Reconstruction of a Botanical Tree from a 3D Point Cloud -- 5 Jesse Beisegel, Johannes Buhl, Rameez Israr, Johannes Schmidt, Markus Bambach, and Armin Fügenschuh, Mixed-Integer Programming Models for Two Metal Additive Manufacturing Methods -- 6 Ashkan Mansouri Yarahmadi, Michael Breuss, Carsten Hartmann, Toni Schneidereit, Unsupervised Optimization of Laser Beam Trajectories for Powder Bed Fusion Printing and Extension to Multiphase Nucleation Models. 330 $aThe volume collects several contributions to the INDAM workshop Mathematical Methods for Objects Reconstruction: from 3D Vision to 3D Printing held in Rome, February, 2021. The goal of the workshop was to discuss new methods and conceptual structures for managing these challenging problems. The chapters reflect this goal and the authors are academic researchers and some experts from industry working in the areas of 3D modeling, computer vision, 3D printing and/or developing new mathematical methods for these problems. The contributions present methodologies and challenges raised by the emergence of large-scale 3D reconstruction applications and low-cost 3D printers. The volume collects complementary knowledges from different areas of mathematics, computer science and engineering on research topics related to 3D printing, which are, so far, widely unexplored. Young researchers and future scientific leaders in the field of 3D data acquisition, 3D scene reconstruction, and 3D printing software development will find an excellent introduction to these problems and to the mathematical techniques necessary to solve them. 410 0$aSpringer INdAM Series,$x2281-5198 ;$v54 606 $aDifferential equations 606 $aMathematics 606 $aMathematics$xData processing 606 $aDifferential Equations 606 $aApplications of Mathematics 606 $aComputational Mathematics and Numerical Analysis 615 0$aDifferential equations. 615 0$aMathematics. 615 0$aMathematics$xData processing. 615 14$aDifferential Equations. 615 24$aApplications of Mathematics. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a621.988 700 $aCristiani$b Emiliano$0721782 701 $aFalcone +$b Maurizio$01380327 701 $aTozza$b Silvia$01380328 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736026803321 996 $aMathematical Methods for Objects Reconstruction$93421594 997 $aUNINA