Circular and Linear Regression Fitting Circles and Lines by Least Squares

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. T...

Full description

Saved in:
Bibliographic Details
Main Author: Chernov, Nikolai 1956- (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press/Taylor & Francis 2011
©2011
Series:Monographs on statistics and applied probability 117
Subjects:
Online Access:Click Here to View Status and Holdings.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000#i 4501
001 wils-450219
005 202071911127
008 200819t2011 FLU ag# ##001 #deng#D
020 # # |a 9781439835906  |q hardvover 
020 # # |a 143983590X  |q hardcover 
040 # # |a DLC  |d UiTM  |e rda 
041 0 # |a English 
090 0 0 |a QA278.2  |b .C544 2011 
100 1 # |a Chernov, Nikolai  |d 1956-  |e author 
245 1 0 |a Circular and Linear Regression  |b Fitting Circles and Lines by Least Squares  |c Nikolai Chernov, University of Alabama at Birmingham U.S.A. 
264 # 1 |a Boca Raton, FL  |b CRC Press/Taylor & Francis  |c 2011 
264 # 1 |c ©2011 
300 # # |a xxx, 256 pages  |b illustrations  |c 25 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
490 1 # |a Monographs on statistics and applied probability  |v 117 
500 # # |a "A Chapman & Hall book." 
504 # # |a Includes bibliographical references and index 
520 # # |a 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. 
650 # 0 |a Regression analysis 
650 # 0 |a Curve fitting 
650 # 0 |a Least squares 
830 # 1 |a Monographs on statistics and applied probability  |v 117 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=450219 
964 # # |c BOK  |d CS 
998 # # |a 00264#1a002.8.2||00264#1b002.8.4||01264#1a002.8.2||01264#1b002.8.4||00300##a003.4.1||00300##b003.6.1||00300##c003.5.1||00500##a002.17.2||00520##a007.2||00520##b007.2||