Estimation of ellipse parameters using optimal minimum variance estimator

被引：19

作者：

Cui, YT ^{[1
]}

Weng, J ^{[1
]}

Reynolds, H ^{[1
]}

机构：

[1] ERGONOM RES LAB,LANSING,MI 48912

来源：

PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 03期

关键词：

ellipse; minimum variance estimator; parameter estimation; curve fitting;

D O I：

10.1016/0167-8655(95)00114-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an unbiased minimum variance estimator to estimate the parameters of an ellipse. A space decomposition scheme is presented to direct the search of the optimal parameters. Experimental results have shown the dramatic improvement over existing weighted least sum of squares approaches, especially when the ellipse is occluded.

引用

页码：309 / 316

页数：8

共 13 条

[1]

Albano A., 1974, COMP GRAPH INFO PROC, V3, P23, DOI [10.1016/0146-664X(74)90008-2, DOI 10.1016/0146-664X(74)90008-2CGIPBG0146-664X]

[2] GENERALIZING THE HOUGH TRANSFORM TO DETECT ARBITRARY SHAPES [J].