9783030343712 - computer vision: algorithms and applications (texts in computer science) de szeliski, richard (27 resultados)
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Hardcover. Condición: Very Good. Second Edition 2022. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Buch. Condición: 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 wel…l 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.
Idioma: Inglés
Editorial: Springer 2022
Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Idioma: Inglés
Editorial: Springer Nature Switzerland AG, Cham 2022
Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Hardcover. Condición: new. Hardcover. 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. supplies supplementary course material for students at an associated website.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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Editorial: Springer Nature Switzerland AG Jan 2022 2022
Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Buch. Condición: 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 wel…l 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.
Idioma: Inglés
Editorial: Springer 2022
Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Condición: 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.
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 2nd edition. 947 pages. 9.25x6.10x2.05 inches. In Stock.
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Buch. Condición: 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 we…ll as for fun, consumer-level tasks that students can apply to their own personal photos and videos.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 925 pp. Englisch.
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Serie: Texts in Computer Science, Libro 69 de 83. Libro 69 de 83 - Texts in Computer Science
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Buch. Condición: Neu. Computer Vision | Algorithms and Applications | Richard Szeliski | Buch | XXII | Englisch | 2022 | Springer | EAN 9783030343712 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Buch. Condición: 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 we…ll 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.
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Editorial: Springer 2022
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Hardcover. Condición: Brand New. 2nd edition. 947 pages. 9.25x6.10x2.05 inches. In Stock.
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