Abstract: Method and system of unveiling high-resolution visible face images from any low-resolution thermal face images, can include inputting any number of thermal face images as an input through a generative adversarial network to perform spectrum translation of the low-resolution thermal face images to a number of high-resolution visible face images, training the generative adversarial network with at least a reference high resolution image, adapting or training the generative adversarial network for one or more among L1 loss, perceptual loss, and identity loss, and generating a high-resolution visible face image from any low-resolution thermal face images provided as an input to the generative adversarial network.

Abstract: Provided is a cross-spectral face recognition learning method based on a set of associated face images, a thermal image and a visual image, of a plurality of persons. The thermal image is coded in two different ways. A style encoder provides a style code of the thermal image. An identity encoder provides an identity code of the thermal image. The visual image is coded in a similar way with a style encoder providing a style code and with an identity encoder providing an identity code. The two face images of the same person share in the identity features a common part in the respective identity codes, noted as common identity code, whereas the style codes for the two images comprise features only relevant two the specific style, i.e. either thermal or visual, of the image. Other embodiments disclosed.

Abstract: Provided is a thermal face and landmark detection method for providing a ground truth reference database, capturing a thermal image comprising at least one face, detecting a face in the thermal image, cropping the thermal image creating a cropped face thermal image, applying a Gaussian filters method to the cropped face thermal image creating an improved cropped face thermal image and applying a landmark detector to the improved cropped face thermal image creating an landmarked cropped face thermal image. Other embodiments disclosed.