Dense Image Correspondences for Computer Vision
Hassner
ISBN 10: 3319230476 ISBN 13: 9783319230474
Editore: Springer International Publishing AG, 2015
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Editor(s): Hassner, Tal; Liu, Ce. Num Pages: 295 pages, 6 black & white illustrations, 146 colour illustrations, 20 black & white tables, biograp. BIC Classification: TJK; TTBM; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2015. 1st ed. 2016. Hardcover. . . . . Codice articolo V9783319230474
Riassunto:
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.
Informazioni sull?autore: 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.
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Titolo: Dense Image Correspondences for Computer ...
Casa editrice: Springer International Publishing AG
Data di pubblicazione: 2015
Legatura: Rilegato
Condizione: New
Edizione: prima edizione
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Dense Image Correspondences for Computer Vision (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2015
ISBN 10: 3319230476
ISBN 13: 9783319230474
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Hardcover. Condizione: new. Hardcover. 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. This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783319230474
Quantità: 1 disponibili
Foto dell'editore
Dense Image Correspondences for Computer Vision (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2015
ISBN 10: 3319230476
ISBN 13: 9783319230474
Nuovo
Rilegato
Prima edizione
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. 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. This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9783319230474
Quantità: 1 disponibili