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Inhaltsangabe
Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area.
The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.
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From the reviews:
"This compendium should be treated as a higher-level text with the target audience being computer scientists, electrical engineers, and mathematician, both in the research and industrial settings. Graduate-level students interested in pursuing advanced treatments of the topic can benefit from reading this book as well. ... This text is an important and worthwhile contribution to the computational imaging and vision literature; it is easy to read and rigorous in its mathematical development." (R. Goldberg, ACM Computing Reviews, Vol. 49 (4), April, 2008)
Reseña del editor
Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area.
The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.
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- VerlagSpringer
- Erscheinungsdatum2005
- ISBN 10 1402038577
- ISBN 13 9781402038570
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten412
- HerausgeberKlette Reinhard, Kozera Ryszard, Noakes Lyle
- Kontakt zum HerstellerNicht verfügbar
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Geometric Properties for Incomplete Data
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 408 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 3006494/202
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Geometric Properties for Incomplete Data.
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Dordrecht, Springer Netherland., 2005
ISBN 10: 1402038577
ISBN 13: 9781402038570
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2006. 21 x 30 cm. XVI, 392 S. XVI, 392 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. (Computational Imaging and Vision). Sprache: Englisch. Artikel-Nr. 248ZB
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Geometric Properties for Incomplete Data
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ISBN 10: 1402038577
ISBN 13: 9781402038570
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Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations. Artikel-Nr. D-953-060
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Geometric Properties for Incomplete Data (Computational Imaging and Vision, 31)
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:1402038577. Artikel-Nr. 8762919
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Klette / Geometric Properties for Incomplete data
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Springer Netherlands, Springer Netherlands Dez 2005, 2005
ISBN 10: 1402038577
ISBN 13: 9781402038570
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Buch. Zustand: Neu. Neuware -Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area.The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch. Artikel-Nr. 9781402038570
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Klette / Geometric Properties for Incomplete data
Verlag:
Springer Netherlands, Springer Netherlands, 2005
ISBN 10: 1402038577
ISBN 13: 9781402038570
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Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area. The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context. Artikel-Nr. 9781402038570
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Geometric Properties for Incomplete Data (Computational Imaging and Vision, 31)
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