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The mean value for infinite volume measures, infinite products and heuristic infinite dimensional Lebesgue measures
The mean value for infinite volume measures infinite products heuristic infinite dimensional Lebesgue measures
2011/1/20
The goal of this article is to define the mean value of a function defined on an infinite product of measured spaces with infinite measure. As a preliminary approach, the mean value of a map defined o...
Mean-field/PDF numerical approach for polydispersed turbulent two-phase flows
Mean-field/PDF numerical approach polydispersed turbulent two-phase flows
2010/12/15
The purpose of this paper is to give an overview in the realm of numerical computations of
polydispersed turbulent two-phase flows, using a mean-field/PDF approach. In this approach,
the numerical s...
Constructing graphs over $R^n$ with small prescribed mean-curvature
$R^n$ with small prescribed mean-curvature
2010/12/1
In this paper a convergent series expansion is constructed to solve the prescribed mean curvature equation ±∇·(∇u/p1 ± |∇u|2) = nH for n-dimensional hypersurfaces in Rn+1 (+ sign) an...
基于Mean．shift的灰度目标跟踪新算法
目标跟踪 Mean—shift 方向编码 方向直方图 Bhattacharyya系数
2011/12/6
Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情况下仍能实现稳定、实时的跟踪目标。