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OverviewComputer 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. Full Product DetailsAuthor: Reinhard Klette , Ryszard Kozera , Lyle Noakes , Joachim WeickertPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2006 ed. Volume: 31 Dimensions: Width: 21.00cm , Height: 2.30cm , Length: 29.70cm Weight: 1.660kg ISBN: 9781402038570ISBN 10: 1402038577 Pages: 392 Publication Date: 09 December 2005 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsFrom 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) 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |