Gurton Kristan P, Yuffa Alex J, Videen Gorden W
Opt Lett. 2014 Jul 1;39(13):3857-9. doi: 10.1364/OL.39.003857.
We present a series of long-wave-infrared (LWIR) polarimetric-based thermal images of facial profiles in which polarization-state information of the image-forming radiance is retained and displayed. The resultant polarimetric images show enhanced facial features, additional texture, and details that are not present in corresponding conventional thermal imagery. It has been generally thought that conventional thermal imagery (MidIR or LWIR) could not produce the detailed spatial information required for reliable human identification due to the so-called "ghosting" effect often seen in thermal imagery of human subjects. By using polarimetric information, we are able to extract subtle surface features of the human face, thus improving subject identification. Polarimetric image sets considered include the conventional thermal intensity image, S0, the two Stokes images, S1 and S2, and a Stokes image product called the degree-of-linear-polarization image.
我们展示了一系列基于长波红外（LWIR）偏振的面部轮廓热图像，其中成像辐射的偏振态信息得以保留并显示。所得的偏振图像显示出增强的面部特征、额外的纹理以及相应传统热图像中不存在的细节。人们普遍认为，由于在人体热成像中经常出现的所谓“重影”效应，传统热成像（中波红外或长波红外）无法产生可靠的人体识别所需的详细空间信息。通过使用偏振信息，我们能够提取人脸的细微表面特征，从而改善目标识别。所考虑的偏振图像集包括传统热强度图像S0、两个斯托克斯图像S1和S2，以及一个称为线性偏振度图像的斯托克斯图像乘积。
