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» Compact algorithm for strictly ML ellipse fitting
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ICPR
2008
IEEE
14 years 6 months ago
Compact algorithm for strictly ML ellipse fitting
Kenichi Kanatani, Yasuyuki Sugaya
JMIV
2010
78views more  JMIV 2010»
13 years 8 days ago
Unified Computation of Strict Maximum Likelihood for Geometric Fitting
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...
Kenichi Kanatani, Yasuyuki Sugaya
PSIVT
2009
Springer
130views Multimedia» more  PSIVT 2009»
14 years 1 days ago
Compact Fundamental Matrix Computation
Abstract. A very compact algorithm is presented for fundamental matrix computation from point correspondences over two images. The computation is based on the strict maximum likeli...
Kenichi Kanatani, Yasuyuki Sugaya
ICCV
2009
IEEE
13 years 3 months ago
Improving accuracy of geometric parameter estimation using projected score method
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...
Takayuki Okatani, Koichiro Deguchi