Items related to Handbook of Mathematical Models and Algorithms in Computer...
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision - Hardcover
- PublisherSpringer
- Publication date2023
- ISBN 10 3030986608
- ISBN 13 9783030986605
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages2010
- EditorChen Ke, Schönlieb Carola-Bibiane, Tai Xue-Cheng, Younes Laurent
Buy New
View this item
US$ 921.60
Shipping:
US$ 55.16
From Germany to U.S.A.
Search results for Handbook of Mathematical Models and Algorithms in Computer...
Seller Image
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Published by
Springer, Berlin|Springer International Publishing|Isaac Newton Institute for Mathematical Sciences|Springer, 2023
ISBN 10: 3030986608
ISBN 13: 9783030986605
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 564799859
Quantity: Over 20 available
Seller Image
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Published by
Springer International Publishing, Springer Nature Switzerland Feb 2023, 2023
ISBN 10: 3030986608
ISBN 13: 9783030986605
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This handbook gathers together the state of the art onmathematical modelsand algorithms for imaging and vision. Its emphasis lies onrigorous mathematicalmethods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, andnonlinearoptimization, and provides the basis of high-resolution imaging throughgeometry andvariational models. Besides,optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning.No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging andvision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists. 2064 pp. Englisch. Seller Inventory # 9783030986605
Quantity: 2 available
Seller Image
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision
Published by
Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3030986608
ISBN 13: 9783030986605
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook gathers together the state of the art onmathematical modelsand algorithms for imaging and vision. Its emphasis lies onrigorous mathematicalmethods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, andnonlinearoptimization, and provides the basis of high-resolution imaging throughgeometry andvariational models. Besides,optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning.No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging andvision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists. Seller Inventory # 9783030986605
Quantity: 1 available
Stock Image
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging (Hardcover)
Published by
Springer Nature Switzerland AG, Cham, 2023
ISBN 10: 3030986608
ISBN 13: 9783030986605
New
Hardcover
First Edition
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783030986605
Quantity: 1 available
Stock Image
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision: Vol 3
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 2010 pages. 9.25x6.10x4.65 inches. In Stock. Seller Inventory # x-3030986608
Quantity: 1 available