Abstract
Fever screening based on infrared thermographs (IRTs) is a viable mass screening approach during infectious disease pandemics, such as Ebola and SARS, for temperature monitoring in public places like hospitals and airports. IRTs have found to be powerful, quick and non-invasive methods to detect elevated temperatures. Moreover, regions medially adjacent to the inner canthi (called the canthi regions in this paper) are preferred sites for fever screening. Accurate localization of the canthi regions can be achieved through multi-modal registration of infrared (IR) and white-light images. We proposed a registration method through a coarse-fine registration strategy using different registration models based on landmarks and edge detection on eye contours. We evaluated the registration accuracy to be within 2.7 mm, which enables accurate localization of the canthi regions.
Abstract (translated)
基于红外热图（IRT）的发热筛查在埃博拉和SARS等传染病大流行期间，是一种可行的大规模筛查方法，适用于医院、机场等人流密集场所的体温监测。IRT已被证明是检测高体温的有效、快速且无创的方法。此外，在此研究中被称为内眼角区域（即靠近内眼角的区域）被认为是发热筛查的理想部位。通过红外图像和白光图像的多模态配准技术，可以实现这些内眼角区域的精确定位。 我们提出了一种粗细结合的注册方法策略，该策略采用基于地标和眼睛轮廓边缘检测的不同注册模型。我们评估了这种配准方法的准确性在2.7毫米以内，这使得能够精确地定位内眼角区域。
URL
https://arxiv.org/abs/2507.02955
