1.

Record Nr.

UNINA9910736026803321

Autore

Cristiani Emiliano

Titolo

Mathematical Methods for Objects Reconstruction : From 3D Vision to 3D Printing / / edited by Emiliano Cristiani, Maurizio Falcone †, Silvia Tozza

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

981-9907-76-4

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (185 pages)

Collana

Springer INdAM Series, , 2281-5198 ; ; 54

Altri autori (Persone)

Falcone +Maurizio

TozzaSilvia

Disciplina

621.988

Soggetti

Differential equations

Mathematics

Mathematics—Data processing

Differential Equations

Applications of Mathematics

Computational Mathematics and Numerical Analysis

Matemàtica

Impressió 3D

Visualització tridimensional

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1 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.

Sommario/riassunto

The 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.