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Item Details
| Title:
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GEOMETRIC PROPERTIES FOR INCOMPLETE DATA
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| By: |
Reinhard Klette (Editor), Ryszard Kozera (Editor), Lyle Noakes (Editor) |
| Format: |
Hardback |
| List price:
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£89.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1402038577 |
| ISBN 13: |
9781402038570 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
9 December, 2005 |
| Series: |
Computational Imaging and Vision v. 31 |
| Pages: |
408 |
| Description: |
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. |
| Synopsis: |
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. |
| Illustrations: |
biography |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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