Circular and Linear Regression: Fitting Circles and Lines by Least Squares by Nikolai Chernov
Circular and Linear Regression: Fitting Circles and Lines by Least Squares (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Nikolai Chernov
English | June 22, 2010 | ISBN: 143983590X | 279 Pages | PDF | 5 MB
English | June 22, 2010 | ISBN: 143983590X | 279 Pages | PDF | 5 MB
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.