The accurate fitting of a circle to noisy measurements of points on its circumference is an important and much-studied problem in statistics. ATHERTON & KERBYSON (Image and Vision Computing 17, 1999, 795-803) have proposed a complex convolutional circle parameter estimator. One of the estimators proposed is a ‘Phase-Coded Annulus’ to estimate for the centre and radius. ZELNIKER & CLARKSON (Digital Image Computing: Tech. and Appl. 2003, 509-518) have shown that it is possible to exactly describe the Maximum Likelihood Estimator (MLE) in terms of convolution under a certain model for ideal images formed from noisy circle points. In this paper, we investigate the relationship between the convolution of an ideal image with a Phase-C...
The Circle Hough Transform (CHT) has become a common method for circle detection in numerous image p...
In this paper, we examine the problem of fitting a hypersphere to a set of noisy measurements of poi...
This thesis is concerned with fundamental algorithms for estimating parameters of geometric models t...
The accurate fitting of a circle to noisy measurements of points on its circumference is an importan...
The accurate fitting of a circle to noisy measurements of circumferential points is a much studied p...
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delog...
Copyright © 2006 IEEEThe accurate fitting of a circle to noisy measurements of circumferential point...
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delogn...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points o...
© Copyright 2005 IEEEWe examine the problem of fitting a circle to a set of noisy measurements of po...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points f...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points f...
We examine the problem of fitting a circle to a set of noisy measurement of points on the circle's c...
Accurate location of circles inside images is a common problem in many scientific fields. Traditiona...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points o...
The Circle Hough Transform (CHT) has become a common method for circle detection in numerous image p...
In this paper, we examine the problem of fitting a hypersphere to a set of noisy measurements of poi...
This thesis is concerned with fundamental algorithms for estimating parameters of geometric models t...
The accurate fitting of a circle to noisy measurements of points on its circumference is an importan...
The accurate fitting of a circle to noisy measurements of circumferential points is a much studied p...
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delog...
Copyright © 2006 IEEEThe accurate fitting of a circle to noisy measurements of circumferential point...
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delogn...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points o...
© Copyright 2005 IEEEWe examine the problem of fitting a circle to a set of noisy measurements of po...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points f...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points f...
We examine the problem of fitting a circle to a set of noisy measurement of points on the circle's c...
Accurate location of circles inside images is a common problem in many scientific fields. Traditiona...
In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points o...
The Circle Hough Transform (CHT) has become a common method for circle detection in numerous image p...
In this paper, we examine the problem of fitting a hypersphere to a set of noisy measurements of poi...
This thesis is concerned with fundamental algorithms for estimating parameters of geometric models t...