Circular and Linear Regression 'Fitting Circles and Lines by Least Squares'

Exploring the recent achievements that have occurred since the mid-1990s, this book explains how to use modern algorithms to fit geometric contours 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. The text also identifies obscure issues that may be relevant in future research. MATLAB ® codes are available on the author’s website.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Algorithms & Complexity
Image Processing
Statistical Theory & Methods
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