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From prosopagnosia to image processing: feature enhancement module

机译:从断绝症到图像处理: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是希腊语中的“ prosop”(面部)和“ agnosia”(无能力/无法识别或识别)的术语,也被称为“面部盲”。它可能以不同比例存在于并非以前认为的罕见的人中。极端异常和异常情况为我们的大脑如何真正发挥作用提供了重要线索,我们的大脑能够揭示其秘密。 “理解”一个场景并不像我们认为的那样简单,甚至是一个小孩可能会对周围的事物给予理解的解释。然而,在那个小孩后面有数月,数年的知识获取。在计算过程中实现的认知方面建立了框架,以相对于人类相应的感官对人类行为进行建模。为了简化在虚拟系统和机器模型中实施的过程,将解剖学方面(生理学)建模为简化模式。眼睛跟踪模型是在机器人上实现人工视觉时应考虑的示例。本文从认知的角度评论了有关围绝经的最新研究,分析了在面部识别系统中必须模块化处理的相关特征,并提出了一种在面部重要方向检测的新方法,该方法可能会构成一个新模块,除了现有的人脸识别软件程序。

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