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Sinopsis
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.
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Acerca del autor
Prof. Tal Hassner is a faculty member of the Department of Mathematics and Computer Science, The Open University of Israel, Israel. Ce Liu is a Researcher with Google.
De la contraportada
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code, and data necessary for expediting the development of effective correspondence-based computer vision systems.
· Provides in-depth coverage of dense-correspondence estimation
· Covers both the breadth and depth of new achievements in dense correspondence estimation and their applications
· Includes information for designing computer vision systems that rely on efficient and robust correspondence estimation
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Dense Image Correspondences for Computer Vision.
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Cham, Springer., 2016
ISBN 10: 3319230476
ISBN 13: 9783319230474
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XII, 295 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Nº de ref. del artículo: 32419AB
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Dense Image Correspondences for Computer Vision
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Springer International Publishing, 2015
ISBN 10: 3319230476
ISBN 13: 9783319230474
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides in-depth coverage of dense-correspondence estimationCovers both the breadth and depth of new achievements in dense correspondence estimation and their applicationsIncludes information for designing computer vision systems which rel. Nº de ref. del artículo: 39553393
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Dense Image Correspondences for Computer Vision
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Springer International Publishing Dez 2015, 2015
ISBN 10: 3319230476
ISBN 13: 9783319230474
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems. 308 pp. Englisch. Nº de ref. del artículo: 9783319230474
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Dense Image Correspondences for Computer Vision
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Springer International Publishing, 2015
ISBN 10: 3319230476
ISBN 13: 9783319230474
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems. Nº de ref. del artículo: 9783319230474
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Dense Image Correspondences for Computer Vision
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Dense Image Correspondences for Computer Vision
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Dense Image Correspondences for Computer Vision
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Springer International Publishing, Springer International Publishing Dez 2015, 2015
ISBN 10: 3319230476
ISBN 13: 9783319230474
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Buch. Condición: Neu. Neuware -This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. Nº de ref. del artículo: 9783319230474
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Dense Image Correspondences for Computer Vision
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Dense Image Correspondences for Computer Vision
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