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Face aging predictive model due to methamphetamine addiction

机译:甲基苯丙胺成瘾导致的面部衰老预测模型

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Facial aging is a biological phenomenon that can be affected by various factors. Although it is inexorable, a strong correlation is found between face age and lifestyle. Drug addiction can significantly change the manner of the face ageing, therefore the awareness of its negative effects and risks may help avoid addiction and reduce the number of the addicts. Unlike numerous studies dealing with the natural and ordinary ageing process, in this work, we propose a model aiming at presenting the horrifying effects of drugs specially methamphetamine addiction on an individual's appearance age. First a primal predictive ageing model has been made based on the expected aging process by constructing face templates corresponding to the different age decades. Meanwhile, by using the statistical survey on the methamphetamine addicts' face database, one coefficient is obtained which shows the difference in the appearance age between normal people and methamphetamine addicts. The final model will be built on the basis of these two, to illustrate that drug addicts look Delta years older than their natural age. Some minor geometrical changes that can appear by drug addiction are applied.
机译:面部衰老是一种生物现象,可能会受到多种因素的影响。尽管这是不可避免的,但是在面部年龄和生活方式之间却发现了很强的相关性。吸毒成瘾可以显着改变面部衰老的方式,因此,了解其负面影响和风险可能有助于避免成瘾并减少成瘾者的数量。与众多研究自然和普通衰老过程的研究不同,在这项工作中,我们提出了一个模型,旨在展示药物特别是甲基苯丙胺成瘾对个体的出现年龄的恐怖影响。首先,根据预期的衰老过程,通过构建对应于不同年龄的几十年的面部模板,建立了一个原始的预测性衰老模型。同时,通过对甲基苯丙胺成瘾者面部数据库的统计调查,获得了一个系数,该系数显示了正常人与甲基苯丙胺成瘾者之间出现年龄的差异。最终的模型将建立在这两个模型的基础上,以说明吸毒者看起来Delta比其自然年龄大几岁。应用了一些可能由吸毒引起的微小几何变化。

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