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» A new method for camera motion parameter estimation
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126
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ICIP
2005
IEEE
15 years 9 months ago
Planar homography: accuracy analysis and applications
Projective homography sits at the heart of many problems in image registration. In addition to many methods for estimating the homography parameters [5], analytical expressions to...
Shahriar Negahdaripour, Ricard Prados, Rafael Garc...
128
Voted
CVPR
2010
IEEE
15 years 3 months ago
Estimating satellite attitude from pushbroom sensors
Linear pushbroom cameras are widely used in passive remote sensing from space as they provide high resolution images. In earth observation applications, where several pushbroom se...
Regis Perrier, Elise Arnaud, Peter F. Sturm, Mathi...
CSDA
2007
105views more  CSDA 2007»
15 years 3 months ago
GSA-based maximum likelihood estimation for threshold vector error correction model
The log-likelihood function of threshold vector error correction models is neither differentiable, nor smooth with respect to some parameters. Therefore, it is very difficult to ...
Zheng Yang, Zheng Tian, Zixia Yuan
125
Voted
NIPS
2001
15 years 5 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
125
Voted
CSDA
2006
145views more  CSDA 2006»
15 years 3 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin