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Comparison of thermal and visual facial imagery for use in sparse representation based facial recognition system

机译:基于稀疏表示的面部识别系统中热图像和视觉面部图像的比较

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摘要

Facial Recognition is probably one of the most commonly used biometrie characteristics used by humans for recognition. This is one of the reasons why it has been subject of intense research for the past 30 years or so. In this time a lot of work is being done not only in the development of stable, real time facial recognition system but also in acquiring different modalities of facial imagery for use with these systems. One of the most successful recent attempts at developing a robust real time facial recognition system is based on representing the whole system as an underdetermined sparse linear system and solving it accordingly. On the other hand, the two mostly widely used modalities of facial imagery are Thermal and Visible images. In this paper, we compare the performance of a sparse representation based facial recognition system on both thermal and visible imagery. We also elaborate on the results in detail and explain the performances obtained.
机译:面部识别可能是人类用于识别的最常用的生物特征之一。这是过去三十年来一直受到广泛研究的原因之一。在这段时间里,不仅在开发稳定的实时面部识别系统中,而且在获取与这些系统一起使用的不同形式的面部图像方面,都做了很多工作。最近,开发鲁棒的实时面部识别系统的最成功尝试之一是将整个系统表示为欠定的稀疏线性系统,并相应地对其进行求解。另一方面,面部图像的两种最广泛使用的形式是热图像和可见图像。在本文中,我们比较了基于稀疏表示的面部识别系统在热图像和可见图像上的性能。我们还将详细阐述结果并解释获得的性能。

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