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Innertron: New Methodology of Facial Recognition, Part Ⅰ

机译:Innertron:面部识别的新方法,第一部分

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On October 10, 2001, the US President identified the most wanted persons sought by the United States of America. Agencies such as FBI, CIA and Homeland Security spread images of the most wanted persons across the United States. Even though US citizens saw their images on television, the Internet and posters, computers had, and still have for that matter, no ability at all to identify these persons. To date FBI, CIA and Homeland Security depend entirely on human beings, not computers, to identify persons at borders and international airports. In other words, facial recognition remains an incompetent technology. Accordingly, authors first succinctly show the weaknesses of the current facial recognition methodologies, namely Eigenface Technology, Local Feature Analysis (from the classical 7 point to the 32-50 blocks approach), the Scale-Space Approach, Morphological Operations and industrial or patented methodologies such as ILEFIS™, Viisage™, Visionics™ and Cognitec''s Face VACS-Logon™, Identix™ and Neven Vision™. Secondly, they introduce a completely new, simple and robust methodology called Innertron.
机译:2001年10月10日,美国总统确定了美利坚合众国寻求的最大通缉人员。联邦调查局,中央情报局和国土安全部等机构在美国各地散布了最受通缉的人的照片。即使美国公民在电视,互联网和海报上看到了他们的图像,但计算机仍然没有能力识别这些人。迄今为止,联邦调查局,中央情报局和国土安全局完全依靠人而不是计算机来识别边界和国际机场的人员。换句话说,面部识别仍然是一项不称职的技术。因此,作者首先简要地展示了当前的面部识别方法的弱点,即特征脸技术,局部特征分析(从经典的7点到32-50块方法),比例空间方法,形态学操作以及工业或专利方法例如ILEFIS™,Viisage™,Visionics™和Cognitec的Face VACS-Logon™,Identix™和Neven Vision™。其次,他们引入了一种全新的,简单而强大的方法,称为Innertron。

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