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From prosopagnosia to image processing: feature enhancement module

机译:从PruSopagnosia到图像处理:功能增强模块

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Prosopagnosia is a term coming from Greeks words "prosop" (face) and "agnosia" (inability/impossibility to recognize or to identify it), also known as "face blind" affection. It might be present in different proportions in not so rare persons as it was previously believed. Extreme anomalies and abnormalities give important clues on how our brain is really functioning, our mind being able to reveal its secrets. "Understanding" a scene is not as simple as it seems to us even the interpretation that a little child might give to the things perceived around him. Yet, behind that little child there are months, years of knowledge acquisition. Cognitive aspects implemented in computational processes establish frames to model human actions relative to the human corresponding senses. The anatomical aspects, physiology, are modeled in simplified schemas in order to be implemented in virtual systems and machine models. Eye tracking models are examples to be considered for implementing artificial vision on robots. The paper comments, from the cognitive viewpoint, relevant recent studies on prosopagnosia, analysis the relevant features that have to be modularly treated in a face recognition system and proposes a new method of important directions detection on a face, which might constitute a new module, in addition to the existent face recognition software programs.
机译:Prosopagnosia是来自希腊语词语“PROSOP”(脸部)和“agnosia”(无能为力/不可能识别或识别它)的术语,也称为“面对盲目”的感情。它可能以不同的比例出现在不稀有的人中,因为它以前认为这是如此罕见的。极端异常和异常为我们的大脑如何实际运作提供重要的线索,我们的思想能够揭示其秘密。 “了解”一个场景并不像我们看来的那么简单,即使是一个小孩可能给予他周围的东西的解释也是如此。然而,在那个小孩背后有几个月,多年的知识获取。计算过程中实施的认知方面建立相对于人类对应的感官来建立模拟人类动作的帧。解剖学方面,生理学在简化的模式中建模,以便在虚拟系统和机器模型中实现。眼跟踪模型是用于在机器人上实施人造视觉的示例。从认知观点来看,来自认知观点的纸质评论,最近对Prosopagnosia的相关研究,分析了必须在面部识别系统中进行模块化的相关特征,并提出了一种新的方法对脸部的重要方向检测,这可能构成一个新模块,除了存在的面部识别软件程序之外。

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