红外人脸识别研究进展
Infrared face recognition: a literature review
摘要：
自动人脸识别（AFR）是一个具有巨大实用潜力的领域，包括广泛的商业和执法应用，它仍然是计算机视觉最活跃的研究领域之一。即使经过三十多年的深入研究，AFR的最新技术水平仍在不断提高，这得益于包括图像处理、模式识别、计算机图形学和生理学在内的一系列不同领域的进步。然而，基于可见光谱图像的系统在存在照明、姿势和表情变化以及面部伪装的情况下继续面临挑战，所有这些都会显著降低其准确性。在试图克服这些限制而提出的各种方法中，红外（IR）成像的使用已经成为一个特别有前途的研究方向。本文对这一主题的文献进行了全面和及时的回顾。
英文摘要：
Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision. Even after over three decades of intense research, the state-of-the-art in AFR continues to improve, benefiting from advances in a range of different fields including image processing, pattern recognition, computer graphics and physiology. However, systems based on visible spectrum images continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease their accuracy. Amongst various approaches which have been proposed in an attempt to overcome these limitations, the use of infrared (IR) imaging has emerged as a particularly promising research direction. This paper presents a comprehensive and timely review of the literature on this subject.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
