Articles liés à Computer Vision: Algorithms and Applications
Synopsis
Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.
More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.
Topics and features:
- Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses
- Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality
- Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects
- Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade
- Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software
Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Richard Szeliski has more than 40 years' experience in computer vision research, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media groups. He is currently an Affiliate Professor at the University of Washington where he co-developed (with Steve Seitz) the widely adopted computer vision curriculum on which this book is based. He was awarded the IEEE Computer Society PAMI Distinguished Researcher Award in 2017 and is an IEEE and ACM Fellow.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
Edité par
Springer, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Ancien ou d'occasion
Couverture rigide
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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hardcover. Etat : Very Good. Cover and edges may have some wear. N° de réf. du vendeur mon0003654819
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
Edité par
Springer, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Ancien ou d'occasion
Couverture rigide
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
hardcover. Etat : Good. Minor denting on cover edges. N° de réf. du vendeur mon0003752738
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
Edité par
Springer, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Ancien ou d'occasion
Couverture rigide
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Springer, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Ancien ou d'occasion
Couverture rigide
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Computer Vision
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Springer International Publishing, 2022
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ISBN 13 : 9783030343712
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Etat : New. Truly comprehensive computer vision textbookHighly anticipated new edition updated with the latest state-of-the-art techniques, and featuring new material on machine learning, deep learning, and deep neural networksStructu. N° de réf. du vendeur 458542200
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Etat : New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. N° de réf. du vendeur 1LAUHV002SR9
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Computer Vision
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Springer Nature Switzerland AG Jan 2022, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
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Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. Neuware -Computer Vision: Algorithms and Applicationsexplores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.More than just a source of 'recipes,' this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.Topics and features:Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized coursesIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented realityPresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projectsIncludes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decadeProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and softwareSuitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. 925 pp. Englisch. N° de réf. du vendeur 9783030343712
Quantité disponible : 2 disponible(s)
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Computer Vision
Edité par
Springer Nature Switzerland AG Jan 2022, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Neuf
Couverture rigide
Vendeur : Wegmann1855, Zwiesel, Allemagne
Évaluation du vendeur 2 sur 5 étoiles
Buch. Etat : Neu. Neuware -Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.More than just a source of ¿recipes,¿ this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.Topics and features:Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized coursesIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented realityPresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projectsIncludes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decadeProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and softwareSuitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. N° de réf. du vendeur 9783030343712
Quantité disponible : 1 disponible(s)
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Computer Vision : Algorithms and Applications
Edité par
Springer Nature Switzerland AG Jan 2022, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware - Computer Vision: Algorithms and Applicationsexplores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.More than just a source of 'recipes,' this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.Topics and features:Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized coursesIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented realityPresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projectsIncludes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decadeProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and softwareSuitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. N° de réf. du vendeur 9783030343712
Quantité disponible : 1 disponible(s)
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Computer Vision
Edité par
Springer Nature Switzerland AG Jan 2022, 2022
ISBN 10 : 3030343715
ISBN 13 : 9783030343712
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -Computer Vision: Algorithms and Applicationsexplores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.More than just a source of 'recipes,' this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.Topics and features:Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized coursesIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented realityPresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projectsIncludes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decadeProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and softwareSuitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. 925 pp. Englisch. N° de réf. du vendeur 9783030343712
Quantité disponible : 2 disponible(s)