27 search results - page 1 / 6 » What Value Covariance Information in Estimating Vision Param... |
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
CVPR
2000
IEEE
14 years 6 months ago
2000
IEEE
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
KES
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We present an autoadaptive algorithm for in-use parameter estimation of MEMS inertial accelerometers and gyros1 using multilevel quasi-static states for greater accuracy ...
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
In this work, we use points, lines, and the linear extremal contours of cylinders to estimate the position and orientation of the camera in the world coordinate system. Other line...
CEC
2011
IEEE
12 years 4 months ago
2011
IEEE
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...