Thermal Infrared Face Recognition: A Review

K. Kakkirala, S. Chalamala, Santosh Kumar Jami
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引用次数: 15

Abstract

Visible light face recognition has been well researched but still its performance is limited by varying illumination conditions. Illumination conditions are major source of the uncertainty in face recognition systems performance when it is used in outdoor setting. In order to augment the performance of visible light face recognition system's performance, infrared facial images as a new modality has been used in the literature. The other intriguing factor in using the infrared, especially thermal infrared imaging for facial recognition is the night time surveillance with little or no light to illuminate the faces. Thermal facial recognition is used in several covert military applications. The covert data acquisition has its own environmental constraints. The choice of infrared makes the system less dependent on external light sources and more robust with respect to incident angle and light variations. In this paper we focus on reviewing recent developments in thermal IR face recognition and suggest the approaches that could be useful in matching visible and thermal IR images.
热红外人脸识别技术综述
可见光人脸识别技术已经得到了广泛的研究,但其性能仍然受到光照条件的限制。在室外环境下使用人脸识别系统时,光照条件是影响系统性能的主要因素。为了增强可见光人脸识别系统的性能,红外人脸图像作为一种新的识别方式被文献采用。使用红外线,特别是热红外成像进行面部识别的另一个有趣的因素是夜间监视,很少或没有光线照射面部。热面部识别在一些秘密军事应用中使用。隐蔽数据采集有其自身的环境约束。红外线的选择使系统较少依赖于外部光源,并且在入射角和光变化方面更加稳健。在本文中,我们重点回顾了热红外人脸识别的最新进展,并提出了可能有助于匹配可见光和热红外图像的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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