6 search results - page 1 / 2 » Reduction of Bias in Maximum Likelihood Ellipse Fitting |
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
For fitting an ellipse to a point sequence, ML (maximum likelihood) has been regarded as having the highest accuracy. In this paper, we demonstrate the existence of a "hyperac...
JMIV
2010
12 years 11 months ago
2010
A new numerical scheme is presented for strictly computing maximum likelihood (ML) of geometric fitting problems. Intensively studied in the past are those methods that first tran...
SIP
2007
13 years 5 months ago
2007
This article deals with the estimation of sinusoidal parameters for non stationary sinusoids. It will be shown that for linear amplitude and frequency modulation only the frequenc...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...