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MARKER-FREE REGISTRATION OF TERRESTRIAL LASER SCANS USING THE NORMAL DISTRIBUTION TRANSFORM
LIDAR Laser scanning Terrestrial Registration Matching
2015/8/7
The registration of scan data often uses special markers which are placed in the scene. This leads to a reliable registration
but the method is not very efficient. Therefore, we search for a re...
Modelling complex geological circular data with the projected normal distribution and mixtures of von Mises distributions
Circulation data earth science statistical description structural geology circulation data set
2015/1/6
Circular data are commonly encountered in the earth sciences and statistical descriptions and inferences about such data are necessary in structural geology. In this paper we compare two statistical d...
G- expectation, G- normal distribution and related problems
G-expectation G-normal distribution sublinear expectation space viscosity solution classical probability theory space
2011/11/5
In this paper we study the academician Peng Shige's papers of the nonlinear expectation since 2005. Under this foundation we interpret some theories and resolve several problems of the theory of G-exp...
This paper is concerned with the study of a circular random distribution called geodesic Normal distribution recently proposed for general manifolds. This distribution, parameterized by two real numbe...
A New Approximation to the Normal Distribution Quantile Function
Normal Distribution Quantile Function primary benefit
2010/4/27
We present a new approximation to the normal distribution quantile function. It has a similar form to the approximation of Beasley and Springer [3], providing a maximum absolute error of less than $2....
FITTING A THREE-PARAMETER LOG-NORMAL DISTRIBUTION BY LEAST SQUARES
THREE-PARAMETER LOG-NORMAL DISTRIBUTION LEAST SQUARES
2009/10/29
A three-parameter log-normal distribution is derived as an exact functional
transform ot an embcdded normal distribution. The parameters of
this function are evaluated by fitting to histograms of na...
A note on approximating the normal distribution function
Cumulative distribution function normal distribution
2010/9/10
In this paper, we propose a one-term-to-calculate approximation to the normal cumulative distribution function. Our approximation has a maximum absolute error of .00197323. We compare our approximatio...