ENGLISH

Geometric properties for incomplete data

Book information

Publisher
Springer
Year
2006
ISBN
1402038577, 9781402038570, 9781435601741, 9781402038587, 1402038585
Open Library ID
OL8371637M
Language
english
Format
PDF
Filesize
3 MB (3427390 bytes)
Series
Computational imaging and vision 31
Edition
1
Pages
393\393
Library
Kolxo3
Time added
2009-07-20 03:45:11

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.

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