Add to ORKGStatistical approaches play an important role in computer vision, normal distributions especially are widely used. In this paper we present a new approach for a continuous parametrization of normal distributions. Our method is based on arbitrary interpolation techniques
This article proposes an original method to estimate a continuous transformation that maps one N-dim...
The paper is an engineering exposition of the Stochastic Interpolation Framework, a novel mathematic...
In this paper we describe a new strategy for using local structure adaptive filtering in normalized ...
Statistical approaches play an important role in computer vision, normal distributions especially ar...
Colloque avec actes et comité de lecture.Precise knowledge of normal vectors to discrete objects is ...
In many cases, real-world experimen-tations are approximated by various stochastic probabilistic mod...
Interpolation is an image processing operation for im-prove the resolution of a digital image. In th...
The statistical theory of shape plays a prominent role in applications such as object recognition ...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
National audienceWe propose in this paper the generalization of concept of statistical distribution ...
summary:A method for estimation of probability distribution of transformed random variables is prese...
Abstract. Continuous probability distributions are widely used to mathematically describe random phe...
It is now common practice in machine vision to define the variability in an object\u27s appearance i...
The main result of this paper is the derivation of the probability density function of the cross rat...
This paper introduces a basic methodology which, based on simulations, determines the mínimum sample...
This article proposes an original method to estimate a continuous transformation that maps one N-dim...
The paper is an engineering exposition of the Stochastic Interpolation Framework, a novel mathematic...
In this paper we describe a new strategy for using local structure adaptive filtering in normalized ...
Statistical approaches play an important role in computer vision, normal distributions especially ar...
Colloque avec actes et comité de lecture.Precise knowledge of normal vectors to discrete objects is ...
In many cases, real-world experimen-tations are approximated by various stochastic probabilistic mod...
Interpolation is an image processing operation for im-prove the resolution of a digital image. In th...
The statistical theory of shape plays a prominent role in applications such as object recognition ...
In order to carry out the simulation, we need a source of random numbers distributed according to th...
National audienceWe propose in this paper the generalization of concept of statistical distribution ...
summary:A method for estimation of probability distribution of transformed random variables is prese...
Abstract. Continuous probability distributions are widely used to mathematically describe random phe...
It is now common practice in machine vision to define the variability in an object\u27s appearance i...
The main result of this paper is the derivation of the probability density function of the cross rat...
This paper introduces a basic methodology which, based on simulations, determines the mínimum sample...
This article proposes an original method to estimate a continuous transformation that maps one N-dim...
The paper is an engineering exposition of the Stochastic Interpolation Framework, a novel mathematic...
In this paper we describe a new strategy for using local structure adaptive filtering in normalized ...