Geometric Properties for Incomplete Data (Computational Imaging and Vision)
1 edition
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Author
Contributions
- Reinhard Klette (Editor) - Contributor
- Ryszard Kozera (Editor) - Contributor
- Lyle Noakes (Editor) - Contributor
- Joachim Weickert (Editor) - Contributor
Publication
2005-12-22 - Springer
Language
English
Word Count
98,000 words, Guess
Page Count
392 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL8371637M
- ISBN-139781402038570
- ISBN-101402038577
- OCLC Control Number63185558
- OCLC Control Numbergeometricpropert00klet
and 3 more
- Library of Congress Control Number2007468796
- Goodreads1905042
- LibraryThing6293096
Classifications
- LCCT385TA1637-1638TK788
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. 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.
Subjects
Topics
Other Editions
- Geometric Properties for Incomplete Data (Computational Imaging and Vision)
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