4 search results - page 1 / 1 » Unified Computation of Strict Maximum Likelihood for Geometr... |
JMIV
2010
13 years 2 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...
ICPR
2000
IEEE
14 years 8 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 ...
3DIM
2005
IEEE
13 years 9 months ago
2005
IEEE
We give a formal definition of geometric fitting in a way that suits computer vision applications. We point out that the performance of geometric fitting should be evaluated in...
ICCV
2009
IEEE
13 years 5 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...