通过红外与可见光图像配准，精准定位面部测温关键区域。
Multimodal image registration for effective thermographic fever screening
- 采用粗-精分阶段配准策略，结合特征点与眼轮廓边缘检测
- 配准误差小于2.7毫米，实现高精度关键区域定位
- 适合公共卫生防疫中快速无接触体温筛查场景
基于红外热成像（IRT）的发热筛查是埃博拉、SARS等传染病大流行期间，在医院、机场等人流密集场所进行体温监测的有效手段。IRT具有快速、无创的优点，且眼内眦附近区域（本文称为canthi区域）是首选测温位置。通过红外（IR）与白光图像的多模态配准，可实现对canthi区域的精确定位。本文提出一种基于特征点和眼轮廓边缘检测的粗-精配准策略，评估显示注册误差在2.7 mm以内，从而保证了canthi区域的准确识别。
原文摘要 · Abstract (English)
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.
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