Near-infrared to visible (NIR-VIS) face recognition is the most common case in
heterogeneous face recognition, which aims to match a pair of face images captured from …

Heterogeneous face recognition (HFR) aims at matching face images across different
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …

Person recognition at a distance entails recognizing the identity of an individual appearing
in images or videos collected by long-range imaging systems such as drones or surveillance …

Heterogeneous face recognition (HFR) aims to match input face identity across different
image modalities. Due to the existing large modality gap and the limited number of training …

Abstract Near-infrared-visible (NIR-VIS) heterogeneous face recognition matches NIR to
corresponding VIS face images. However, due to the sensing gap, NIR images often lose …

Heterogeneous face analysis is an important and challenge problem in face recognition
community, because of the large modality discrepancy between heterogeneous face …

In recent years, visible-spectrum face verification systems have been shown to match the
performance of experienced forensic examiners. However, such systems are ineffective in …

Security is a sensitive area that concerns all authorities around the world due to the
emerging terrorism phenomenon. Contactless biometric technologies such as face …

One of the main challenges in performing thermal-to-visible face image translation is
preserving the identity across different spectral bands. Existing work does not effectively …

Existing thermal-to-visible face verification approaches expect the thermal and visible face
images to be of similar resolution. This is unlikely in real-world long-range surveillance …