Advances in Photometric 3d-reconstruction - Rilegato

Rilegato

ISBN 10: 3030518655 ISBN 13: 9783030518653

Casa editrice: Springer-Nature New York Inc, 2020

Riassunto

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. 

 

The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations. 

 

Su questo libro

Informazioni sull'autore

Dr. Jean-Denis Durou is an Associate Professor at the University of Toulouse (IRIT, CNRS), France.

Dr. Maurizio Falcone is a Professor of Numerical Analysis in the Department of Mathematics at Sapienza University of Rome, Italy.

Dr. Yvain Quéau is a CNRS Researcher in the GREYC Laboratory at the University of Caen Normandy, France.

Dr. Silvia Tozza is a Research Assistant at the “Renato Caccioppoli” Department of Mathematics and Applications, University of Naples Federico II, Italy.   

Dalla quarta di copertina

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. 

 

The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations. 

 

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030518655
• ISBN 13: 9783030518653
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 244
• Redattore: Durou Jean-denis, Falcone Maurizio, Queau Yvain, Tozza Silvia
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania