Circular and linear regression: fitting circles and lines by least squares

Find the right algorithm for your image processing applicationExploring 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 arc...

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Detalles Bibliográficos
Autor principal: Chernov, Nikolai
Lenguaje:eng
Publicado: CRC Press 2010
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1999784
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author Chernov, Nikolai
author_facet Chernov, Nikolai
author_sort Chernov, Nikolai
collection CERN
description Find the right algorithm for your image processing applicationExploring 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 il
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institution Organización Europea para la Investigación Nuclear
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publishDate 2010
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spelling cern-19997842021-04-21T20:26:29Zhttp://cds.cern.ch/record/1999784engChernov, NikolaiCircular and linear regression: fitting circles and lines by least squaresMathematical Physics and MathematicsFind the right algorithm for your image processing applicationExploring 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 ilCRC Pressoai:cds.cern.ch:19997842010
spellingShingle Mathematical Physics and Mathematics
Chernov, Nikolai
Circular and linear regression: fitting circles and lines by least squares
title Circular and linear regression: fitting circles and lines by least squares
title_full Circular and linear regression: fitting circles and lines by least squares
title_fullStr Circular and linear regression: fitting circles and lines by least squares
title_full_unstemmed Circular and linear regression: fitting circles and lines by least squares
title_short Circular and linear regression: fitting circles and lines by least squares
title_sort circular and linear regression: fitting circles and lines by least squares
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1999784
work_keys_str_mv AT chernovnikolai circularandlinearregressionfittingcirclesandlinesbyleastsquares

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