Geometric Properties For Incomplete Data (computational Imaging And Vision)
by Reinhard Klette /
2010 / English / PDF
3.3 MB Download
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.
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.
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.