(1)Department of Statistics
(2)Department of Electrical and Computer Engineering
Rutgers University, Piscataway, NJ 08855, USA
A general method for eliminating the bias of non-linear
estimators using bootstrap is presented. Instead of the traditional
mean bias we consider the definition of bias based on the median.
The method is applied to the problem of fitting ellipse segments
to noisy data.
No assumption beyond being independent identically distributed (i.i.d.)
is made about the error distribution and
experiments with both synthetic and real data prove the
effectiveness of the technique.
Appeared in
IEEE Trans. Pattern Anal. Machine Intell, 18, 752-756, 1996.
Return to Research: Bootstrap as a tool for computer vision
