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Circular and Linear Regression - Fitting Circles and Lines by Least Squares (Paperback)
Loot Price: R1,454
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Circular and Linear Regression - Fitting Circles and Lines by Least Squares (Paperback)
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Expected to ship within 12 - 17 working days
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Find the right algorithm for your image processing application
Exploring the recent achievements that have occurred since the
mid-1990s, Circular and Linear Regression: Fitting Circles and
Lines by Least Squares explains how to use modern algorithms to fit
geometric contours (circles and circular arcs) to observed data in
image processing and computer vision. The author covers all
facets-geometric, statistical, and computational-of the methods. He
looks at how the numerical algorithms relate to one another through
underlying ideas, compares the strengths and weaknesses of each
algorithm, and illustrates how to combine the algorithms to achieve
the best performance. After introducing errors-in-variables (EIV)
regression analysis and its history, the book summarizes the
solution of the linear EIV problem and highlights its main
geometric and statistical properties. It next describes the theory
of fitting circles by least squares, before focusing on practical
geometric and algebraic circle fitting methods. The text then
covers the statistical analysis of curve and circle fitting
methods. The last chapter presents a sample of "exotic" circle
fits, including some mathematically sophisticated procedures that
use complex numbers and conformal mappings of the complex plane.
Essential for understanding the advantages and limitations of the
practical schemes, this book thoroughly addresses the theoretical
aspects of the fitting problem. It also identifies obscure issues
that may be relevant in future research.
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