Advances in Photometric 3D-Reconstruction: Advances in Computer Vision and Pattern Recognition
Editat de Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozzaen Limba Engleză Paperback – 18 sep 2021
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.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 624.42 lei 6-8 săpt. | |
Springer International Publishing – 18 sep 2021 | 624.42 lei 6-8 săpt. | |
Hardback (1) | 630.49 lei 6-8 săpt. | |
Springer International Publishing – 17 sep 2020 | 630.49 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030518684
ISBN-10: 303051868X
Ilustrații: VII, 234 p. 112 illus., 64 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:Cham, Switzerland
ISBN-10: 303051868X
Ilustrații: VII, 234 p. 112 illus., 64 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:Cham, Switzerland
Cuprins
1. A Comprehensive Introduction to Photometric 3D-Reconstruction.- 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments.- 3. RGBD-Fusion: Depth Refinement for Diffuse and Specular Objects.- 4. Non-Rigid Structure from Motion and Shading.- 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.
Notă biografică
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.
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
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