The main result of this paper is the derivation of the probability density function of the cross ratio k(a;b;c;d) = (c \Gamma a) (d \Gamma b) (d \Gamma a) (c \Gamma b) when the numbers a, b, c and d are independent stochastic variables with identical rectangular distribution. The probability density function of the cross ratio is needed to study the effectiveness of invariant based recognition systems. A short background into invariant based recognition is given. The use of the result is illustrated by examples and a short comment is given on generalizing the result to other distributions on a, b, c and d. Although theoretical, this result is useful in understanding algorithms based on the cross ratio, e.g. in autonomous vehicle navigat...
In statistical pattern recognition, it is important to avoid density estimation since density estima...
Statistical approaches play an important role in computer vision, normal distributions especially a...
A novel approximation to the probability density function for the product of arbitrary independent R...
The main result of this paper is the derivation of the probability density function of the cross rat...
The cross ratio has wide applications in computer vision because of its invari-ance under projective...
summary:A method for estimation of probability distribution of transformed random variables is prese...
We derive distributions of ratio for two independent gamma variables and two independent inverted ga...
In several pattern recognition applications it is often necessary to approximate probability distrib...
Abstract. The asymptotic distribution for the ratio of the sample cor-relations in two independent p...
The cross-spectrum method consists in measuring a signal $c(t)$ simultaneously with two independent ...
We propose a covariance ratio measure for symmetry or asymmetry of a probability density function. T...
The univariate and multivariate skew-normal distributions have a number of intriguing properties. It...
A new method for testing a hypothesis of the independence of multidimensional random variables is pr...
This paper addresses the problem of calculating the multidimensional probability density functions (...
International audienceThe cross-spectrum method consists in measuring a signal c(t) simultaneously w...
In statistical pattern recognition, it is important to avoid density estimation since density estima...
Statistical approaches play an important role in computer vision, normal distributions especially a...
A novel approximation to the probability density function for the product of arbitrary independent R...
The main result of this paper is the derivation of the probability density function of the cross rat...
The cross ratio has wide applications in computer vision because of its invari-ance under projective...
summary:A method for estimation of probability distribution of transformed random variables is prese...
We derive distributions of ratio for two independent gamma variables and two independent inverted ga...
In several pattern recognition applications it is often necessary to approximate probability distrib...
Abstract. The asymptotic distribution for the ratio of the sample cor-relations in two independent p...
The cross-spectrum method consists in measuring a signal $c(t)$ simultaneously with two independent ...
We propose a covariance ratio measure for symmetry or asymmetry of a probability density function. T...
The univariate and multivariate skew-normal distributions have a number of intriguing properties. It...
A new method for testing a hypothesis of the independence of multidimensional random variables is pr...
This paper addresses the problem of calculating the multidimensional probability density functions (...
International audienceThe cross-spectrum method consists in measuring a signal c(t) simultaneously w...
In statistical pattern recognition, it is important to avoid density estimation since density estima...
Statistical approaches play an important role in computer vision, normal distributions especially a...
A novel approximation to the probability density function for the product of arbitrary independent R...