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Ellipse Fitting for Computer Vision - Implementation and Applications (Paperback)
Loot Price: R1,776
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Ellipse Fitting for Computer Vision - Implementation and Applications (Paperback)
Series: Synthesis Lectures on Computer Vision
Expected to ship within 10 - 15 working days
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Because circular objects are projected to ellipses in images,
ellipse fitting is a first step for 3-D analysis of circular
objects in computer vision applications. For this reason, the study
of ellipse fitting began as soon as computers came into use for
image analysis in the 1970s, but it is only recently that optimal
computation techniques based on the statistical properties of noise
were established. These include renormalization (1993), which was
then improved as FNS (2000) and HEIV (2000). Later, further
improvements, called hyperaccurate correction (2006), HyperLS
(2009), and hyper-renormalization (2012), were presented. Today,
these are regarded as the most accurate fitting methods among all
known techniques. This book describes these algorithms as well
implementation details and applications to 3-D scene analysis. We
also present general mathematical theories of statistical
optimization underlying all ellipse fitting algorithms, including
rigorous covariance and bias analyses and the theoretical accuracy
limit. The results can be directly applied to other computer vision
tasks including computing fundamental matrices and homographies
between images. This book can serve not simply as a reference of
ellipse fitting algorithms for researchers, but also as learning
material for beginners who want to start computer vision research.
The sample program codes are downloadable from the website:
https://sites.google.com/a/morganclaypool.com/ellipse-fitting-for-computer-vision-implementation-and-applications.
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