Overview
- Presents the latest computer vision models, together with their mathematical background
- Provides a survey of photo-polarimetric 3D reconstruction techniques for a broad audience
- Describes various industrial and medical applications of interest to engineers and practitioners
- Discusses potential future developments, for the benefit of researchers new to the field
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Advances in Photometric 3D-Reconstruction
Editors: Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozza
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-030-51866-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-51865-3Published: 17 September 2020
Softcover ISBN: 978-3-030-51868-4Published: 18 September 2021
eBook ISBN: 978-3-030-51866-0Published: 16 September 2020
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: VII, 234
Number of Illustrations: 48 b/w illustrations, 64 illustrations in colour
Topics: Image Processing and Computer Vision, Mathematical Modeling and Industrial Mathematics, Machine Learning