Graphical Models and Image Processing
NoteCramer-Rao Lower Bounds for Estimation of a Circular Arc Center and Its Radius
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Constrained Cramér–Rao Lower Bound in Errors-In Variables (EIV) models: Revisited
2018, Statistics and Probability LettersOn covering a digital disc with concentric circles in ℤ<sup>2</sup>
2013, Theoretical Computer ScienceCitation Excerpt :Characterization of various digital objects such as circles, rings, discs, and circular arcs, has been extensively studied in the literature [19,22,34,45,9,17,37,44,49,37].
Fitting circles to data with correlated noise
2008, Computational Statistics and Data AnalysisCitation Excerpt :Fitting circles to imperfect (noisy or distorted) images is a common task in pattern recognition (Pei and Horng, 1996), computer vision (Atieg and Watson, 2004), industry (quality control) (Landau, 1987), high energy physics (Chernov and Ososkov, 1984; Karimäki, 1991), medical sciences (Biggerstaff, 1972), archeology (DeBoer, 1980; Freeman, 1977; Haliř and Flusser, 1998; Haliř and Menard, 1996; Plog, 1985; Thom, 1955; Whalen, 1998), robotics (Zhang et al., 2006), and many other areas of human practice. Theoretical and statistical analysis of the problem has been done by Chan (1965), Berman and Culpin (1986), Berman (1989), Thomas and Chan (1989), Chan and Thomas (1995), Kanatani (1998), Nievergelt (2002), Yin and Wang (2004), Chan et al. (2005), Chernov and Lesort (2005), Zelniker and Clarkson (2006) and others. In all this work, the observed points were assumed to have independent normal distribution (specified below).
Number-theoretic interpretation and construction of a digital circle
2008, Discrete Applied MathematicsA statistical analysis of the Delogne-Kåsa method for fitting circles
2006, Digital Signal Processing: A Review JournalStatistical efficiency of curve fitting algorithms
2004, Computational Statistics and Data Analysis