Geometric Properties for Incomplete Data

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 th...

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Bibliographic Details
Other Authors: Klette, Reinhard (Editor), Kozera, Ryszard (Editor), Noakes, Lyle (Editor), Weickert, Joachim (Editor)
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 2006, 2006
Edition:1st ed. 2006
Series:Computational Imaging and Vision
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XVI, 392 p online resource
ISBN:9781402038587